83 results about "Energy requirement" patented technology

The invention belongs to the technical field of power grid regulation and control, and particularly relates to a park-level adjustable load-oriented resource regulation and control method and system, and the method comprises the steps: formulating an initial energy scheduling scheme according to the predicted energy demand in combination with the output characteristics of distributed energy in a park and the load condition of a power grid; and training a load regulation and control strategy model by adopting a reinforcement learning algorithm based on the initial energy scheduling scheme, and generating a personalized load regulation and control instruction for each energy consumption unit. According to the scheme, the real-time energy consumption data of the plurality of energy consumption units in the park, the output characteristics of the distributed energy and the power grid load condition can be comprehensively considered, a scientific and reasonable energy scheduling and load regulation and control strategy is formulated, and efficient utilization and green low-carbon development of park energy are realized. Meanwhile, the method also needs to have the characteristics of data sharing, accurate prediction, intelligent scheduling, rapid response and the like so as to adapt to complex and changeable energy requirements and environmental protection requirements of the park.

The invention, which relates to the technical field of new energy power generation, discloses a new energy power generation scheduling optimization system comprising a multi-dimensional evaluation module, a dynamic weight adjustment module, a priority calculation and determination module, and a scheduling decision module. By establishing a multi-dimensional evaluation grade and a dynamic weight adjustment mechanism, the method can comprehensively and accurately evaluate the factors of the emergency degree of the energy demand, the power generation capacity of the power generation equipment and the operation state of the equipment, dynamically adjust the priority of each power generation equipment according to the real-time monitored data in different time periods, and ensure that the power generation capacity of the power generation equipment is greatly improved in the peak time period of the energy demand. Equipment which is high in power generation capacity, stable in operation and capable of responding quickly is scheduled preferentially, emergency energy requirements are met, power outage accidents are effectively avoided, new energy power generation can better adapt to complex and changeable energy requirements and power generation conditions due to the intelligent and accurate scheduling capacity, and more reliable energy supply is provided for users.

The invention relates to the technical field of monitoring control, and discloses a comprehensive energy management method and system, and the method comprises the steps: obtaining historical energy data, equipment operation parameters and internal and external environment data of a target smart entity, the internal and external environment data comprising building characteristic data, season data, building internal temperature data and building internal humidity data; inputting the historical energy data, the equipment operation parameters and the internal and external environment data into a trained first adjustment model, and outputting a first energy demand result; inputting the building characteristic data and the first energy demand result into a trained second adjustment model, and outputting a second energy demand result; and formulating an energy adjustment strategy based on the second energy demand result. By implementing the method and the system, response and adjustment can be quickly made when environment and energy demand changes, challenges brought by changes of operating environment and building characteristics are effectively handled, and efficient energy utilization and sustainable development of the smart entity are realized.

An energy requirement analyzing arrangement for analyzing production and energy requirements of an industrial process operated at a production site by a local production system using energy generated by a local energy supply system obtains (S100) energy consumption data and dynamics for the industrial process and the local energy generation at the production site, generates (S110) a prediction of energy generation and a prediction of energy consumption in a time window; estimates (S120) probabilities of energy surplus or energy shortage at different points in time in the time window based on the predictions of energy generation and energy consumption; generates (S130) an impact evaluation, which quantifies the impact of the probability of energy surplus and energy shortage at the production site, determines (S140) an activity for the local energy supply system and / or local production system that reduces the impact on the industrial process and applies (S150) the determined impact reducing activity in the local energy supply system and / or local production system.

Provided are a method for optimizing system energy efficiency and apparatus based on an integrated energy requirement, an electronic device, and a storage medium. The method includes, in response to a received target integrated energy requirement, constructing the energy efficiency optimization function of a target system according to an integrated energy requirement parameter, the operating parameter of the target system, and the environment loss parameter of the target system; constructing a constraint condition for optimizing the energy efficiency of the target system based on the balance relationship between energy supply and energy consumption and a device operating requirement for transmitting energy; and based on the energy efficiency optimization function and the constraint condition, using a target algorithm, using operating parameters of multiple devices in the target system as population individuals.

The embodiment of the invention relates to the technical field of electronic atomization, and discloses a control method and an aerosol generating device.The control method comprises the steps that after a heating starting instruction is received, a power source is controlled to provide corresponding energy for an induction coil in multiple time periods according to the mapping relation between the time periods and energy parameters, and the corresponding energy is supplied to the induction coil; wherein the energy provided by the time period consists of a plurality of high-frequency driving pulses, and the duration of the time period is greater than or equal to 500ms. Compared with a conventional mode which depends on the real-time temperature and the temperature curve of the heater for control, on one hand, starting from the energy demand characteristics in the aerosol-forming substrate baking process, the set energy in each time period adapts to the baking process characteristics, and energy supply is controlled in different time periods; the aerosol with good taste can be generated, and the taste and the smoking experience can be improved. And on the other hand, the dependence on a temperature detection device can be eliminated, the problem of insufficient or excessive heat absorption of the aerosol forming substrate caused by inaccurate temperature detection is avoided, and the hardware cost can be effectively reduced.

The invention relates to the field of comprehensive energy, and discloses a low-carbon comprehensive energy system optimization planning method considering clean energy, which comprises the steps of determining an optimization planning target, analyzing energy requirements of a system, and determining constraint conditions in physical, technical, economic and environmental aspects; all kinds of energy resources available in the system are evaluated, the potential and availability of all kinds of renewable energy resources are evaluated based on geographical and climate conditions, the supply modes of all kinds of energy resources are analyzed and determined in combination with energy demand, and a multi-energy collaborative supply scheme is provided; establishing a mathematical model of the multi-energy system, simulating the operation condition of the system, evaluating the contribution of each energy form and the influence of the contribution on the stability of the system, and analyzing the influence of different parameter changes on the operation of the system; a comprehensive objective function is constructed according to requirements and objectives of the system, and constraint conditions of system operation are set according to equipment performance, energy efficiency and environmental protection laws and regulations. The method has the advantages of optimizing multi-energy collaborative supply and ensuring stable operation of the system.

In at least some implementations, a method for controlling energy use in a vehicle includes determining a travel path for a trip, determining a duration of travel for the trip, determining an energy requirement to complete the trip within the duration, comparing the energy requirement to a low energy threshold, and reducing the maximum energy output that is provided from the vehicle when the energy requirement is lower than the low energy threshold.

The invention discloses a safety management method, device and system for distributed power supplies and a medium, and the method comprises the steps: collecting the energy production and consumption data of each distributed power supply, an energy storage system, a key load node and a connection point between the microgrid and a main power grid in a microgrid in real time; the energy demand of each distributed power supply of the micro-grid is monitored in real time through the collected energy production and consumption data; according to the business requirements and the data characteristics, determining characteristics having significant influences on the energy requirements in each distributed power supply, and according to the characteristics having the significant influences, determining an optimal characteristic set and a prediction model of each distributed power supply; predicting future energy demands in the microgrid of each distributed power supply through the optimal feature set and the prediction model; and the multi-agent system is used for adjusting the operation state and output of each distributed power supply, so that the coordinated operation of the whole micro-grid is realized. According to the invention, by monitoring and predicting the energy demand of the micro-grid in real time, the output of each distributed power supply is adjusted, and efficient utilization of energy is realized.

A method for determining the status, in particular the tightness, of a cooking appliance (10) with a steam heating system (17) comprises the following steps: a) Determining an actual energy demand level of the steam heating (17) at which the energy demand of the steam heating (17) is constant during operation, and b) Determining a deviation of the actual energy demand level from a target energy demand level and / or a deviation of the trend of several actual energy demand levels from a specific trend of several target energy demand levels. Furthermore, a cooking appliance (10) with a steam heater (17) and a control unit (22) is provided, which is designed to carry out such a procedure.

The invention discloses a new energy station multi-stage cooperative energy distribution method, device and equipment and a storage medium. The method comprises the following steps: firstly, obtaining new energy station data of a to-be-tested new energy station at a historical moment and new energy station data of the to-be-tested new energy station at a current moment; according to the new energy station data at the historical moment and the new energy station data at the current moment, constructing an energy demand prediction model; according to the new energy station data at the current moment and an energy demand prediction model, calculating to obtain an energy demand prediction value at the current moment; comparing the energy demand prediction value with each preset energy distribution threshold value, and determining an energy distribution level function corresponding to the energy demand prediction value; and finally, according to the energy distribution level function and the energy demand prediction value, calculating to obtain an energy distribution value. By implementing the method, the energy demand can be predicted according to continuously changing real-time data, and efficient energy distribution is realized.

The application discloses an intelligent diet management method and system based on multi-source health data fusion, and relates to the field of health diet management. In order to solve the defects of the existing diet management system, such as data fragmentation, manual input dependence, incapability of generating personalized diet plans and incapability of forming a closed-loop feedback, basic information, medical information and body composition data of a user are acquired; initial health parameters are generated according to the basic information, the medical information and the body composition data of the user, wherein the initial health parameters include basal metabolic rate, total energy consumption and total energy requirement; and the initial health parameters are updated according to dynamic input real-time data, so as to realize intervention and management on diet behaviors, wherein the dynamic input real-time data includes diet data and exercise data. The application is mainly used for intervention and management on diet behaviors according to the results of multi-source health data fusion.

The invention discloses an industrial and commercial building energy storage optimization configuration method based on a flexible load, and relates to the technical field of energy management and optimization, and the method comprises the steps: S1, collecting the real-time operation data and energy consumption data of various types of equipment in a building, S2, building an energy consumption model and a scheduling model of the equipment in the building based on the collected data, and carrying out the optimization of the energy consumption model and the scheduling model; s3, flexible load resources in the building and the scheduling potential of the flexible load resources are determined, and S4, configuration parameters of the energy storage system are optimized according to the flexible load resources and the scheduling potential of the flexible load resources; according to the industrial and commercial building energy storage optimal configuration method based on the flexible load, the dynamic change of the equipment can be more flexibly adapted, the adaptability of energy management is remarkably improved, the method can effectively identify and coordinate the energy requirements of different equipment in the building, and the energy management efficiency is improved. The problem of energy consumption control caused by lack of flexibility of a scheduling strategy under the conditions of multiple types of equipment and inconsistent operation modes in a building in the prior art is solved.

A cooking apparatus including a cooking chamber for receiving food ingredients. A heater for heating the cooking chamber. An input arrangement to input at least one recipe parameter indicative of an energy requirement for cooking the food ingredients. One or more processors control the heater to heat the cooking chamber at a first temperature less than or equal to 140° C. for a fraction of a cooking time and control the heater to heat the cooking chamber at a second temperature higher than 140° C. for the remainder of the cooking time. The remainder is a further fraction of the cooking time which is less than the fraction. The processors select the cooking time based on the energy requirement, fraction of the cooking time at the first temperature, further fraction of the cooking time at the second temperature. A method for operating the cooking apparatus. A computer program for implementing the method.

An energy supply method for an energy supply network (1) connectable to a superior energy supply network (4), at least one of the participants (6a) comprising an energy supply device (9) having an inverter (10a, 10b), the method comprising: i) disconnecting the energy supply network (1) from the superior energy supply network (4); ii) disconnecting all participants (6a, 6b) from the energy supply network (1); iii) determining a master inverter (10a) and a slave inverter (10b); iv) connecting the participant (6a) having the energy supply device (9) to the energy supply network (1); v) outputting the alternating voltage (U) via the master inverter (10a) and the slave inverter (10b), wherein the frequency (f), the voltage amplitude (A) and the phase angle (phi) are defined by the master inverter (10a); vi) determining the total available energy (Eges) and / or the total available power (Pges) in the energy supply network (1); vii) connecting the participants (6b) without the energy supply device (9) to the local energy supply network (1) after step v) as a function of the total energy (Eges), the total power (Pges), the expected power consumption (PE) and / or the expected energy demand (EE); viii) isolates the participants (6a, 6b) from the energy supply network (1) as needed in order to ensure network stability.

A method for distributing power from a set power rate power source to a plurality of loads 16a, 16b, 16c comprising determining, for each of the loads, an individual energy requirement over a first up

The invention relates to the technical field of anorexia risk prediction, and discloses an anorexia risk prediction system based on multi-modal data, which comprises a multi-dimensional monitoring module and an intelligent evaluation module. According to the system, health management data and daily life management data of all individuals are obtained through a multi-dimensional monitoring module and are classified to form a data set, and an intelligent evaluation module evaluates the actual energy demand required by the individuals for maintaining the current body weight, generates basic energy consumption, evaluates the individual physical activity level coefficient, generates an energy intake gap, and obtains the health management data and the daily life management data. Metabolic characteristics of different ages, genders and groups are fully considered, the multi-dimensional assessment precision is high, the intelligent assessment module sets a fixed monitoring period, dynamically tracks the change trend of health key indexes, accurately quantifies and assesses the health injury degree of an individual caused by anorexia behaviors, generates injury indexes, quantifies risk levels, and improves the assessment accuracy. Intendencies of individuals to different anorexia subtypes are distinguished, corresponding early warning signals and feeding suggestions are output, and grading early warning screening efficiency is high.

The invention provides a global energy optimal control method and system for an electric vertical take-off and landing aircraft, and relates to the technical field of aircraft control. The method comprises the following steps: firstly, carrying out dynamic modeling on a transition stage, simplifying an equation, and then analyzing the lowest energy consumption performance of a conversion acceleration stage and a re-conversion deceleration stage; introducing an energy consumption formula, establishing a cubic tilt scheduling formula, solving a coefficient, and simplifying a strategy into optimization of a key parameter k; finally, a nonlinear optimization analysis method is adopted, the function relation between the power of each flight stage and related variables is defined, energy consumption minimization and constraint conditions are formalized into equations, global energy consumption minimization is achieved, the cruising ability of the electric vertical take-off and landing aircraft is improved, and the electric vertical take-off and landing aircraft has a wide application prospect. The problems of low energy management efficiency, lack of a global energy optimization view angle and control strategy simplification in the prior art are effectively solved, and the differentiated energy requirements of different flight stages are met.

A method of balancing energy demand-supply at a community level based on self-demand response obtains balance of energy demand-supply at a community level. The method achieves and manages the balance of energy demand-supply within the community itself by creating a balancing group in units of time zones and using a reserve margin of the balancing group. The method may include: (a) dividing a predetermined region into a plurality of communities, by a community configuration module; (b) defining a plurality of windows, each window being a time period set to a predetermined time period, by a window definition module; (c) creating a balancing group including demand response resources and distributed energy resources included in one community for each window, by a balancing module; and (d) reducing or eliminating a demand-supply difference of power in the community using the balancing group created in each window, by the balancing module.

The invention relates to the cross technical field of artificial intelligence and healthy diet management, in particular to a healthy diet intelligent recommendation system and method based on a large model and an ai agent, multi-dimensional data of plateau environment, human physiology, storable food materials and cooking conditions are collected through a multi-modal module, a standardized data set is formed through preprocessing, and on the basis of the data set, an ai intelligent agent is obtained; the dynamic energy demand is accurately evaluated in combination with an altitude influence coefficient, a physical power coefficient and the like, meanwhile, a nutrient supply gap is calculated, an optimal storable food material combination with the minimum resource consumption is screened by establishing a nutrition standard constraint equation and inventory constraints, and a dietary scheme is generated in combination with plateau cooking evaluation. The health standard-reaching rate and the food material utilization rate are calculated based on the body feedback data, the scene, health and resource risk factors are fused to obtain the early warning index, grading intervention is triggered, intelligent and dynamic adaptation of plateau diet supply is achieved, the health of the garrison is effectively guaranteed, the food material utilization rate is increased, and the scene adaptation risk is reduced.

A method for determining the status, in particular the tightness, of a cooking appliance (10) with a steam heater (17) comprises the steps of: a) determining an actual energy demand level of the steam heater (17) at which the energy demand of the steam heater (17) is constant during operation, and b) determining a deviation of the actual energy demand level from a target energy demand level and / or a deviation of the profile of several actual energy demand levels from a specific profile of several target energy demand levels. Furthermore, a cooking appliance (10) with a steam heater (17) and a control unit (22) is provided, which is configured to carry out such a method.

A method for dynamically managing an energy system includes determining a production plan by determining a first stochastic system dynamic program (SSDP) based on a state of and a forecasted energy demand in the energy system, determining a second SSDP by relaxing the first SSDP, decomposing the second SSDP into energy unit-specific SSDPs, applying the unit-specific SSDPs with a price model to define a bound on the first SSDP, and determining a forward-looking dynamic economic dispatch plan based on the second SSDP by identifying actions for the energy units corresponding to reachable production levels, applying current unit-specific states and the identified actions to the production plan to generate an updated production plan including unit-specific actions and expected continuation values based on the second SSDP that modify subsequent actions, and dispatching the identified unit-specific actions to the energy system.

An information processing method comprises a first network function (NF) within a core network executing: receiving, from a second NF, a provision request for a BDT policy to be utilized when background data transfer is performed, and an energy requirement that is a requirement regarding energy related to communication; and acquiring a BDT policy that satisfies the energy requirement.

This application discloses a real-time energy management method for microgrids, belonging to the field of power control technology. The method includes: acquiring and recording the energy supply data of the microgrid to obtain historical energy data; analyzing the energy supply at the next energy supply time node within the current energy supply cycle based on the historical energy data obtained during the current energy supply cycle; acquiring the environment of the microgrid and obtaining energy supply fluctuation data based on the environmental information; acquiring the trend of energy supply data changes in each energy supply cycle to obtain the energy demand of the microgrid in the current energy supply cycle; verifying the expected energy supply data and energy supply fluctuation data using the energy demand; determining the microgrid energy adjustment mode for the next energy supply time node based on the energy supply data analysis benchmark, and executing the adjustment when the next energy supply time node arrives. This method solves the problems of insufficient accuracy in microgrid energy analysis and low system robustness in existing technologies.

Provided are a method for optimizing system energy efficiency and apparatus based on an integrated energy requirement, an electronic device, and a storage medium. The method includes, in response to a received target integrated energy requirement, constructing the energy efficiency optimization function of a target system according to an integrated energy requirement parameter, the operating parameter of the target system, and the environment loss parameter of the target system; constructing a constraint condition for optimizing the energy efficiency of the target system based on the balance relationship between energy supply and energy consumption and a device operating requirement for transmitting energy; and based on the energy efficiency optimization function and the constraint condition, using a target algorithm, using operating parameters of multiple devices in the target system as population individuals.

The present invention relates to a method for predicting the energy demand of an electrical consumer component in a motor vehicle (1). According to the invention, a functional model (6) is generated and / or trained in advance for the electrical consumer component (3) from data of a bus system (2) to which the electrical consumer component (3) is linked, using artificial intelligence, wherein the functional model (6) is subsequently used in the motor vehicle (1) to forecast values ​​for the energy requirement of the consumer component (3) from the data of the bus system (2).

An example operation includes one or more of establishing communication between a transport and a location via a module including a battery, determining an energy amount in the transport and an energy requirement at the location, and initiating a transfer of a portion of the energy amount from the transport to the battery based on an intended use of the portion at one or more devices at the location.

A system for performing energy optimization of compressors used in refrigeration and HVAC (Heating Ventilation and Cooling) through the synchronization of or adjustment of run cycles so as to minimize overlapping energy demands and to reduce peak energy usage in a given measurement window resulting in lowered cap tag and demand based or transmission bill charges.