Renewable energy power generation prediction and intelligent scheduling system based on AI algorithm
Through the renewable energy power generation prediction and intelligent scheduling system based on AI algorithms, combined with the lifting and adjustment mechanisms, the problem of fixed angle and position of photovoltaic power generation systems is solved, efficient management and intelligent scheduling are achieved, the utilization of solar energy resources is maximized, and it adapts to different environments and installation requirements, thereby improving power supply reliability and economy.
Patent Information
- Application Number
- CN202510950021.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-10
- Publication Date
- 2025-10-10
AI Technical Summary
The existing renewable energy power generation system has low power generation management efficiency and insufficient intelligent scheduling capabilities. The angle and position of the photovoltaic power generation system are fixed and cannot be adjusted in real time, resulting in insufficient utilization of solar energy resources and limited application scope.
A renewable energy power generation prediction and intelligent scheduling system based on AI algorithms is adopted, combined with lifting and adjusting mechanisms to achieve flexible adjustment of the angle and position of the photovoltaic power generation system. Combined with data collection, prediction, scheduling strategy formulation and feedback optimization system, power generation efficiency and adaptability are improved.
It realizes efficient management and intelligent scheduling of photovoltaic power generation systems, maximizes the utilization of solar energy resources, adapts to different environments and installation requirements, and improves power supply reliability and economy.
Smart Images

Figure CN120768221A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of renewable energy technology, and specifically to a renewable energy power generation prediction and intelligent scheduling system based on AI algorithms. Background Art
[0002] The renewable energy power generation prediction and intelligent scheduling system based on AI algorithms is applicable to a variety of scenarios, including centralized renewable energy power generation bases such as large-scale photovoltaic power stations and wind farms. It can accurately predict power generation and intelligently schedule power generation equipment based on meteorological data and historical power generation conditions to ensure stable access to the power grid. It is also applicable to distributed energy systems, such as photovoltaic systems in industrial parks and on the roofs of commercial buildings. It optimizes energy self-sufficiency and the access of surplus power to the grid through intelligent scheduling. It can also be applied to microgrids and off-grid power supply systems in remote areas. In complex environments and with variable loads, it relies on AI algorithms to achieve efficient energy utilization and stable supply, thereby improving power supply reliability and economy.
[0003] In existing technologies, renewable energy power generation systems often face problems such as inefficient power generation management and insufficient intelligent scheduling capabilities, resulting in insufficient energy utilization and difficulty in coping with complex and changing power generation environments. At the same time, since the angle and position of photovoltaic power generation systems are fixed, they cannot be adjusted in real time according to the angle of sunlight, resulting in insufficient utilization of solar energy resources and limited power generation efficiency. In addition, the height of photovoltaic power generation systems cannot be adjusted, making it difficult to adapt to different terrains and installation scenarios, limiting their application scope and installation flexibility.
[0004] In response to the above problems, the inventors proposed a renewable energy power generation prediction and intelligent scheduling system based on AI algorithm to solve the above problems. Summary of the Invention
[0005] In order to solve the problems of insufficient intelligent scheduling capabilities, fixed angles and positions of photovoltaic power generation systems, and unadjustable height of photovoltaic power generation systems; the purpose of the present invention is to provide a renewable energy power generation prediction and intelligent scheduling system based on AI algorithms.
[0006] To solve the above technical problems, the present invention adopts the following technical solution: a renewable energy power generation prediction and intelligent scheduling system based on AI algorithm, comprising a base frame, a base plate fixedly provided on the upper surface of the base frame, a lifting mechanism fixedly provided on the upper surface of the base plate, an adjustment mechanism fixedly provided on the upper end of the lifting mechanism, and a photovoltaic power generation system provided on the upper surface of the adjustment mechanism.
[0007] Preferably, the adjusting mechanism includes an adjusting rod, the lower end of the adjusting rod is fixedly connected to the lifting mechanism, the upper end of the adjusting rod is fixedly provided with a rotating frame, the inner end of the rotating frame is rotatably provided with a rotating rod, the outer end of the rotating rod is fixedly provided with a rotating plate, both ends of the rotating plate are fixedly provided with a rotating ring, and the rotating plate is provided with an end away from the rotating rod, the lower end of the rotating telescopic rod is fixedly connected to one side of the adjusting rod, one end of the rotating plate is fixedly provided with a steering plate, the lower end of the steering plate is provided with a steering telescopic rod, the upper end of the steering telescopic rod is rotatably provided with a steering rack, one side of the steering rack is provided with a fixed frame, the inner end of the fixed frame is fixedly provided with an adjusting frame, the two ends of the adjusting frame are fixedly matched with the photovoltaic power generation system, and the outer side of the adjusting frame is rotatably fitted with the inner side of the rotating ring.
[0008] Preferably, the lifting mechanism includes a shell, a base is fixedly provided at the lower end of the shell, the base is fixedly matched with the bottom plate, a motor is fixedly provided inside the lower end of the shell, a threaded rod is fixedly provided at the output end of the motor, a lifting rod is provided on the outer threaded sleeve of the threaded rod, the upper end of the lifting rod is fixedly connected to the lower end of the adjusting rod, sliding blocks are fixedly provided on both sides of the lifting rod, and the sliding block slides in fit with one side of the shell.
[0009] Preferably, the photovoltaic power generation system includes a data acquisition and preprocessing system, a power generation prediction system, an intelligent scheduling strategy formulation system, a scheduling execution and monitoring system, and a feedback and continuous optimization system.
[0010] Preferably, a reinforcement frame is fixedly provided on the inner side of the base frame.
[0011] Preferably, bearings are fixedly provided on both sides of the rotating frame, and the inner sides of the bearings are rotatably connected to one end of the rotating rod.
[0012] Preferably, mounting frames are fixedly provided at both ends of the adjustment frame, and the mounting frames are fixedly matched with the lower surface of the photovoltaic power generation system.
[0013] Preferably, the upper surface of the base is provided with a plurality of fixing holes distributed in a rectangular array, and the fixing holes are fixedly matched with the bottom plate.
[0014] Preferably, an assembly rack is fixedly provided inside the lower end of the housing, and the lower surface of the assembly rack is fixedly matched with the motor.
[0015] Preferably, sliding grooves are provided on both sides of the housing, and the sliding grooves are slidably fitted with the sliding blocks.
[0016] Compared with the prior art, the present invention has the following beneficial effects:
[0017] 1. The present invention realizes efficient management and intelligent scheduling of renewable energy power generation through photovoltaic power generation system;
[0018] 2. The present invention can flexibly adjust the angle and position of the photovoltaic power generation system through the adjustment mechanism to maximize the utilization of solar energy resources;
[0019] 3. The present invention realizes the height adjustment of the photovoltaic power generation system through the lifting mechanism to adapt to different environments and installation requirements. BRIEF DESCRIPTION OF THE DRAWINGS
[0020] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.
[0021] Figure 1 It is a structural schematic diagram of the present invention.
[0022] Figure 2 It is a partial structural diagram of the present invention.
[0023] Figure 3 It is a schematic diagram of the structure of the adjustment mechanism of the present invention.
[0024] Figure 4 It is a partial structural diagram of the adjustment mechanism of the present invention.
[0025] Figure 5 It is a structural schematic diagram of the lifting mechanism of the present invention.
[0026] Figure 6 It is a schematic cross-sectional view of the lifting mechanism structure of the present invention.
[0027] Figure 7 Schematic diagram of the photovoltaic power generation system of the present invention.
[0028] Figure 8 Schematic diagram of the photovoltaic power generation system of the present invention.
[0029] In the figure: 1. Base frame; 2. Adjustment mechanism; 3. Lifting mechanism; 4. Bottom plate; 5. Reinforcement frame; 6. Photovoltaic power generation system; 20. Adjustment rod; 21. Rotating frame; 22. Rotating telescopic rod; 23. Adjustment frame; 24. Rotating plate; 25. Rotating ring; 26. Mounting frame; 27. Rotating rod; 28. Bearing; 29. Steering plate; 201. Steering telescopic rod; 202. Steering frame; 203. Fixed frame; 30. Housing; 31. Base; 32. Fixing hole; 33. Motor; 34. Assembly frame; 35. Threaded rod; 36. Lifting rod; 37. Sliding groove; 38. Sliding block. DETAILED DESCRIPTION
[0030] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.
[0031] Example 1: Figure 1-4 As shown, the present invention provides a renewable energy power generation prediction and intelligent scheduling system based on AI algorithm, including a base frame 1, a base plate 4 is fixedly provided on the upper surface of the base frame 1, a lifting mechanism 3 is fixedly provided on the upper surface of the base plate 4, an adjusting mechanism 2 is fixedly provided on the upper end of the lifting mechanism 3, and a photovoltaic power generation system 6 is provided on the upper surface of the adjusting mechanism 2.
[0032] The adjusting mechanism 2 includes an adjusting rod 20, the lower end of the adjusting rod 20 is fixedly connected to the lifting mechanism 3, the upper end of the adjusting rod 20 is fixedly provided with a rotating frame 21, the inner side of the rotating frame 21 is rotatably provided with a rotating rod 27, the outer side of the rotating rod 27 is fixedly provided with a rotating plate 24, both ends of the rotating plate 24 are fixedly provided with a rotating ring 25, the rotating plate 24 is provided with a rotating telescopic rod 22 at one end away from the rotating rod 27, the lower end of the rotating telescopic rod 22 is fixedly connected to one side of the adjusting rod 20, one end of the rotating plate 24 is fixedly provided with a steering plate 29, the lower end of the steering plate 29 is provided with a steering telescopic rod 201, the upper end of the steering telescopic rod 201 is rotatably provided with a steering frame 202, one side of the steering frame 202 is provided with a fixed frame 203, the inner side of the fixed frame 203 is fixedly provided with an adjusting frame 23, the two ends of the adjusting frame 23 are fixedly matched with the photovoltaic power generation system 6, and the outer side of the adjusting frame 23 is rotatably fitted with the inner side of the rotating ring 25.
[0033] By adopting the above technical solution, when the adjusting mechanism 2 is in use, by controlling the extension and retraction of the rotating telescopic rod 22, the rotating plate 24 can be driven to rotate around the rotating rod 27 in the rotating frame 21. Since rotating rings 25 are fixed at both ends of the rotating plate 24, and the outer side of the adjusting frame 23 rotates and fits with the inner side of the rotating ring 25, and the two ends of the adjusting frame 23 are fixedly matched with the photovoltaic power generation system 6, the rotation of the rotating plate 24 will drive the adjusting frame 23 and the photovoltaic power generation system 6 to adjust the angle in the horizontal direction; at the same time, by controlling the extension and retraction of the steering telescopic rod 201, the upper end of the steering telescopic rod 201 rotates in the steering frame 202, driving the steering plate 29 and the part of the rotating plate 24 connected to the steering plate 29 to change the angle in the vertical direction, thereby making the adjusting frame 23 and the photovoltaic power generation system 6 adjust the angle in the vertical direction, thereby realizing flexible adjustment of the angle and position of the photovoltaic power generation system 6 to maximize the utilization of solar energy resources.
[0034] A reinforcement frame 5 is fixedly provided on the inner side of the base frame 1 .
[0035] By adopting the above technical solution, the reinforcement frame 5 is fixedly arranged on the inner side of the base frame 1, which can significantly enhance the overall structural strength and stability of the base frame 1, so that it is not easy to be deformed or damaged when it bears the weight of components such as the photovoltaic power generation system 6, the adjustment mechanism 2 and the lifting mechanism 3, as well as possible external forces. This effectively extends the service life of the entire renewable energy power generation prediction and intelligent scheduling system based on the AI algorithm, and ensures the safety and reliability of the system during long-term operation.
[0036] Bearings 28 are fixedly provided on both sides of the rotating frame 21 , and the inner side of the bearing 28 is rotatably connected to one end of the rotating rod 27 .
[0037] By adopting the above-described technical solution, bearings 28 are fixedly mounted on both sides of the rotating frame 21, and their inner sides are rotatably connected to one end of the rotating rod 27. The use of bearings 28 greatly reduces the friction force when the rotating rod 27 rotates within the rotating frame 21, making the rotation of the rotating rod 27 smoother and more flexible, reducing energy loss, and improving the efficiency and accuracy of the adjustment mechanism 2 in adjusting the angle and position of the photovoltaic power generation system 6. It also reduces wear caused by friction and extends the service life of the rotating rod 27, the rotating frame 21, and other related components.
[0038] Mounting frames 26 are fixedly provided at both ends of the adjustment frame 23 , and the mounting frames 26 are fixedly matched with the lower surface of the photovoltaic power generation system 6 .
[0039] By adopting the above technical solution, the mounting brackets 26 are fixedly arranged at both ends of the adjustment bracket 23 and fixedly cooperate with the lower surface of the photovoltaic power generation system 6. The mounting brackets 26 provide a stable connection point between the photovoltaic power generation system 6 and the adjustment bracket 23, so that the photovoltaic power generation system 6 can be firmly installed on the adjustment bracket 23, ensuring that the photovoltaic power generation system 6 will not loosen or fall off during the process of adjusting the angle and position of the photovoltaic power generation system 6 by the adjustment mechanism 2, thereby ensuring the stable operation of the system and facilitating the installation, removal and maintenance of the photovoltaic power generation system 6.
[0040] Working principle: When the adjusting mechanism 2 is in use, by controlling the extension and retraction of the rotating telescopic rod 22, the rotating plate 24 can be driven to rotate around the rotating rod 27 in the rotating frame 21. Since rotating rings 25 are fixed at both ends of the rotating plate 24, and the outer side of the adjusting frame 23 rotates and fits with the inner side of the rotating ring 25, and the two ends of the adjusting frame 23 are fixedly matched with the photovoltaic power generation system 6, the rotation of the rotating plate 24 will drive the adjusting frame 23 and the photovoltaic power generation system 6 to adjust the angle in the horizontal direction; at the same time, by controlling the extension and retraction of the steering telescopic rod 201, the upper end of the steering telescopic rod 201 rotates in the steering frame 202, driving the steering plate 29 and the part of the rotating plate 24 connected to the steering plate 29 to change the angle in the vertical direction, thereby making the adjusting frame 23 and the photovoltaic power generation system 6 adjust the angle in the vertical direction, thereby realizing flexible adjustment of the angle and position of the photovoltaic power generation system 6 to maximize the utilization of solar energy resources.
[0041] Example 2: Figure 5-6 As shown, the lifting mechanism 3 includes a shell 30, a base 31 is fixedly provided at the lower end of the shell 30, and the base 31 is fixedly matched with the bottom plate 4. A motor 33 is fixedly provided inside the lower end of the shell 30, and a threaded rod 35 is fixedly provided at the output end of the motor 33. A lifting rod 36 is provided on the outer threaded sleeve of the threaded rod 35, and the upper end of the lifting rod 36 is fixedly connected to the lower end of the adjusting rod 20. Sliding blocks 38 are fixedly provided on both sides of the lifting rod 36, and the sliding block 38 slides and fits with one side of the shell 30.
[0042] By adopting the above technical solution, during use of the lifting mechanism 3, the motor 33 is started, and the output end of the motor 33 drives the threaded rod 35 to rotate. Since the lifting rod 36 is threadedly sleeved on the outside of the threaded rod 35, and the sliding blocks 38 on both sides of the lifting rod 36 slide and fit with the sliding grooves 37 on both sides of the shell 30, limiting the rotation of the lifting rod 36, the rotation of the threaded rod 35 will drive the lifting rod 36 to move up and down along the direction of the sliding groove 37. The upper end of the lifting rod 36 is fixedly connected to the lower end of the adjusting rod 20, thereby driving the adjusting rod 20 and the adjusting mechanism 2 fixed to the upper end of the adjusting rod 20 and the photovoltaic power generation system 6 as a whole to achieve height adjustment to adapt to different environments and installation requirements.
[0043] The upper surface of the base 31 is provided with a plurality of fixing holes 32 distributed in a rectangular array, and the fixing holes 32 are fixedly matched with the bottom plate 4 .
[0044] By adopting the above technical solution, the multiple fixing holes 32 arranged in a rectangular array on the upper surface of the base 31 securely engage with the base plate 4. These fixing holes 32 provide precise positioning and a reliable fixing method for the connection between the base 31 and the base plate 4, allowing the lifting mechanism 3 to be securely mounted on the base plate 4 and ensuring the stability of the entire system structure. This fixing method also facilitates operation during installation and removal, improving installation efficiency and facilitating subsequent maintenance and replacement of the lifting mechanism 3.
[0045] An assembly bracket 34 is fixedly provided inside the lower end of the housing 30 , and the lower surface of the assembly bracket 34 is fixedly engaged with the motor 33 .
[0046] By adopting the above technical solution, the assembly bracket 34 is fixedly mounted inside the lower end of the housing 30, with its lower surface fixedly engaged with the motor 33. The assembly bracket 34 provides a stable mounting base for the motor 33, firmly securing it within the housing 30. This reduces displacement and shaking caused by vibration during operation, ensures stable operation of the motor 33, and increases its service life. Furthermore, the design of the assembly bracket 34 also facilitates heat dissipation from the motor 33, ensuring that the motor 33 operates at a suitable temperature, further enhancing system reliability.
[0047] Sliding grooves 37 are formed on both sides of the housing 30 , and the sliding grooves 37 are slidably fitted with the sliding blocks 38 .
[0048] By adopting the above technical solution, the sliding grooves 37 formed on both sides of the housing 30 slide in contact with the sliding blocks 38. The sliding grooves 37 provide precise guidance for the sliding blocks 38 on both sides of the lifting rod 36, allowing the lifting rod 36 to move up and down smoothly in a predetermined direction under the drive of the threaded rod 35. This prevents the lifting rod 36 from deflecting or shaking during movement, ensures the accuracy and stability of the lifting mechanism 3 in adjusting the height of the photovoltaic power generation system 6, and also reduces the additional friction and energy loss caused by deflection or shaking, thereby improving the operating efficiency of the system.
[0049] Working principle: When the lifting mechanism 3 is in use, the motor 33 is started, and the output end of the motor 33 drives the threaded rod 35 to rotate. Since the lifting rod 36 is threadedly sleeved on the outside of the threaded rod 35, and the sliding blocks 38 on both sides of the lifting rod 36 slide and fit with the sliding grooves 37 on both sides of the shell 30, limiting the rotation of the lifting rod 36, the rotation of the threaded rod 35 will drive the lifting rod 36 to move up and down along the direction of the sliding groove 37. The upper end of the lifting rod 36 is fixedly connected to the lower end of the adjusting rod 20, thereby driving the adjusting rod 20 and the adjusting mechanism 2 fixed to the upper end of the adjusting rod 20 and the photovoltaic power generation system 6 as a whole to achieve height adjustment to adapt to different environments and installation requirements.
[0050] Example 3: Figure 7-8 As shown, the photovoltaic power generation system 6 includes a data acquisition and preprocessing system, a power generation prediction system, an intelligent scheduling strategy formulation system, a scheduling execution and monitoring system, and a feedback and continuous optimization system.
[0051] By implementing the above technical solution, in the data acquisition and preprocessing phase, sensors collect photovoltaic power generation data. This data is then cleaned and normalized to provide an accurate and organized data foundation for subsequent analysis. Next, the power generation forecasting phase begins with selecting a suitable forecasting model and training it using the processed data, ultimately enabling real-time prediction of future power generation. Intelligent scheduling strategies are then formulated, starting with analyzing power demand and generating a scheduling strategy based on this information. These strategies are then evaluated and optimized. In the scheduling execution and monitoring phase, scheduling instructions are issued based on the formulated scheduling strategy, and the photovoltaic power generation system is monitored in real time while addressing any anomalies. Finally, in the feedback and continuous optimization phase, the scheduling effectiveness is evaluated, and the forecasting model is updated based on the evaluation results. Experience is then summarized and the optimized strategy and model are fed back to the previous phases to continuously improve the power generation forecasting and intelligent scheduling capabilities of the entire photovoltaic power generation system, ensuring efficient and stable system operation.
[0052] Working Principle: First, in the data acquisition and preprocessing phase, sensors collect PV power generation data. This data is then cleaned and normalized to provide an accurate and organized data foundation for subsequent analysis. Next, the power generation forecasting phase begins with selecting a suitable forecasting model and training it using the processed data, ultimately enabling real-time prediction of future power generation. Intelligent scheduling strategies are then formulated, starting with analyzing power demand and generating a scheduling strategy based on this information. These strategies are then evaluated and optimized. In the scheduling execution and monitoring phase, dispatch instructions are issued based on the established scheduling strategy, monitoring the PV power generation system in real time and addressing any anomalies. Finally, in the feedback and continuous optimization phase, the scheduling effectiveness is evaluated, and the forecasting model is updated based on the evaluation results. Experience is then summarized and the optimized strategy and model are fed back to the previous phases to continuously improve the power generation forecasting and intelligent scheduling capabilities of the entire PV power generation system, ensuring efficient and stable system operation.
[0053] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if such changes and modifications fall within the scope of the claims and their equivalents, the present invention is intended to include such changes and modifications.
Claims
1. A renewable energy power generation prediction and intelligent scheduling system based on AI algorithm, comprising a chassis (1), characterized in that: A bottom plate (4) is fixedly provided on the upper surface of the base frame (1), a lifting mechanism (3) is fixedly provided on the upper surface of the bottom plate (4), an adjustment mechanism (2) is fixedly provided on the upper end of the lifting mechanism (3), and a photovoltaic power generation system (6) is provided on the upper surface of the adjustment mechanism (2).
2. The AI algorithm-based renewable energy power generation prediction and intelligent scheduling system according to claim 1, characterized in that: The adjusting mechanism (2) comprises an adjusting rod (20), the lower end of the adjusting rod (20) is fixedly connected to the lifting mechanism (3), the upper end of the adjusting rod (20) is fixedly provided with a rotating frame (21), the inner side of the rotating frame (21) is rotatably provided with a rotating rod (27), the outer side of the rotating rod (27) is fixedly provided with a rotating plate (24), both ends of the rotating plate (24) are fixedly provided with rotating rings (25), the end of the rotating plate (24) away from the rotating rod (27) is provided with a rotating telescopic rod (22), the lower end of the rotating telescopic rod (22) is connected to the adjusting rod The rotating plate (20) is fixedly connected to one side of the rotating plate (24), a steering plate (29) is fixedly provided at one end of the steering plate (29), a steering telescopic rod (201) is provided at the lower end of the steering telescopic rod (201), a steering rack (202) is rotatably provided at the upper end of the steering telescopic rod (201), a fixing rack (203) is provided at one side of the steering rack (202), an adjusting rack (23) is fixedly provided on the inner side of the fixing rack (203), two ends of the adjusting rack (23) are fixedly matched with the photovoltaic power generation system (6), and the outer side of the adjusting rack (23) is rotatably fitted with the inner side of the rotating ring (25).
3. The AI algorithm-based renewable energy power generation prediction and intelligent scheduling system according to claim 1, characterized in that: The lifting mechanism (3) comprises a shell (30), a base (31) is fixedly provided at the lower end of the shell (30), the base (31) is fixedly matched with the bottom plate (4), a motor (33) is fixedly provided inside the lower end of the shell (30), a threaded rod (35) is fixedly provided at the output end of the motor (33), a lifting rod (36) is provided on the outer thread sleeve of the threaded rod (35), the upper end of the lifting rod (36) is fixedly connected to the lower end of the adjusting rod (20), and sliding blocks (38) are fixedly provided on both sides of the lifting rod (36), and the sliding block (38) is slidably fitted with one side of the shell (30).
4. The AI algorithm-based renewable energy power generation prediction and intelligent scheduling system according to claim 1, characterized in that: The photovoltaic power generation system (6) includes a data acquisition and preprocessing system, a power generation prediction system, an intelligent scheduling strategy formulation system, a scheduling execution and monitoring system, and a feedback and continuous optimization system.
5. The AI algorithm-based renewable energy power generation prediction and intelligent scheduling system according to claim 1, characterized in that: A reinforcing frame (5) is fixedly provided on the inner side of the base frame (1).
6. The AI algorithm-based renewable energy power generation prediction and intelligent scheduling system according to claim 2, characterized in that: Bearings (28) are fixedly provided on both sides of the rotating frame (21), and the inner side of the bearing (28) is rotatably connected to one end of the rotating rod (27).
7. The AI algorithm-based renewable energy power generation prediction and intelligent scheduling system according to claim 2, characterized in that: Mounting frames (26) are fixedly provided at both ends of the adjustment frame (23), and the mounting frames (26) are fixedly matched with the lower surface of the photovoltaic power generation system (6).
8. The AI algorithm-based renewable energy power generation prediction and intelligent scheduling system according to claim 3, characterized in that: The upper surface of the base (31) is provided with a plurality of fixing holes (32) distributed in a rectangular array, and the fixing holes (32) are fixedly matched with the bottom plate (4).
9. The AI algorithm-based renewable energy power generation prediction and intelligent scheduling system according to claim 3, characterized in that: An assembly frame (34) is fixedly provided inside the lower end of the housing (30), and the lower surface of the assembly frame (34) is fixedly matched with the motor (33).
10. The AI algorithm-based renewable energy power generation prediction and intelligent scheduling system according to claim 3, characterized in that: Sliding grooves (37) are provided on both sides of the housing (30), and the sliding grooves (37) are slidably fitted with the sliding blocks (38).