69 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.

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 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.

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.

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 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.

Methods and systems for remediating impaired devices in a deployment are disclosed. The devices may be remediated by repairing or replacing the devices. Whether to repair or replace the devices may depend on the operational and performance costs of running the impaired devices in the deployment. Operational costs may include the retail price of the device and any energy requirements to run the impaired device. Performance costs may include effects of the output of the impaired device on other devices along the pathway of devices. If the integrated costs of the operational costs and performance costs outweigh the sum of the individual operational costs and performance costs, then the device may be replaced; otherwise, the device may be repaired.

An energy supply management system for a vehicle, includes at least one energy supply system with at least one energy supply unit and at least one load unit which can be supplied with energy by the at least one energy supply system in order to be supplied with energy. The energy supply management system is configured so as to determine the availability of functions of the at least one load unit, an energy requirement based on the determined availability of functions of the at least one load unit, and the energy which can be provided by the at least one energy supply unit in order to cover the energy requirement.

The invention discloses a communication method and device, a storage medium and a program product, and belongs to the technical field of communication. In the application, first information is determined, the first information is used for indicating a first energy demand, and the first energy demand is associated with a first configuration. On this basis, communication is performed based on a first configuration associated with the first energy demand. Therefore, the communication device can be configured for communication based on the energy requirement, so that the power consumption of the communication device is controlled.

The application discloses a kind of personalized intelligent recipe recommendation system based on user health information, comprising: user information management module, for obtaining and managing the health information of user;Energy calculation module, for calculating ideal body weight, body type classification, basal energy requirement, blood sugar adjusted energy requirement and meal nutrient target according to user information;Food database, for storing the nutrient composition and type attribute of food;Recipe generation module, for selecting food combination from food database according to meal type and nutrient target, and generating personalized recipe using multi-nutrient synergistic optimization intelligent algorithm.The present application is based on the principle of nutrition, on the basis of personalized health management, increase the precise energy calculation function based on ideal body weight and body type classification, realize precision and individualization in energy calculation, nutrient optimization, food selection and other multiple links.

The invention provides an energy supply system of a ship, an energy management method and electronic equipment. The energy supply system comprises an energy output end used for being externally connected with a ship load; the at least two stages of energy subsystems are used for providing energy for the ship load through the energy output end, and at least one stage of energy subsystem in the at least two stages of energy subsystems is used for converting waste heat generated in the operation process of the ship equipment into energy; and the processor monitors the energy demand of the ship load, selects a target energy subsystem matched with the energy demand from the at least two stages of energy subsystems, and controls the target energy subsystem to provide energy for the ship load. The energy demand of the ship load can be detected in real time, the energy subsystem matched with the energy demand is controlled to provide energy for the ship load, and the energy demand of the ship load is met. And the energy subsystem can convert waste heat generated by the ship equipment into energy, full utilization of the waste heat is achieved, and therefore the comprehensive heat efficiency of the ship is improved.

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.

The direct air capture (DAC) systems and methods efficiently and economically regenerate a desiccant bed without adding any thermal energy and without requiring any pressurization or depressurization of the desiccant reactors. The methods leverage water concentration differences in stream flows, the water concentration profile across a desiccant bed, and, optionally, exothermic water adsorption. These three elements, working in combination, are referred to as "reverse dry flow regeneration" or a "reverse dry air swing" regeneration process. Systems and methods for reverse flow regeneration include those for CO2 DAC applications, but they are also applicable to point source carbon capture and other similar technologies that require initial gas dehydration before exposure to a hydrophilic material.

The invention relates to a method for controlling a mobility concept and for controlling energy distribution by means of an energy distribution system. According to the invention, it is provided that - when a vehicle (2) requests a ride with a driving unit (1, 1'), the vehicle (2) transmits its route, the charge level of its electrical energy storage upon arrival of the vehicle (2) at a pick-up point for a driving unit (1, 1'), the energy requirement for carrying out an individual journey of the vehicle (2) from a starting point to a destination point, and the amount of energy that the vehicle (2) may make available to the energy distribution system to an application program (A), - using the application program (A) a fare (M) for the vehicle (2) as well as a possible pick-up location and a predicted travel time are determined and sent to the vehicle (2) and to the driving unit (1, 1'), wherein - if the vehicle (2) is confirmed as having been taken along, a driving unit (1, 1') is assigned to the vehicle (2), whereby if the vehicle (2) uses the electrical energy provided by the energy distribution system during the transport of the vehicle (2) with the driving unit (1, 1') or if the vehicle (2) feeds energy into the energy distribution system of the driving unit (1, 1'), the determined transport price (M) for the vehicle (2) is adjusted accordingly.