A method and system for analyzing a regional energy Internet load behavior based on a random matrix. Obtaining a coupled meteorological factor index according to acquired meteorological data; obtaining an influence factor matrix according to coupled meteorological index data; obtaining a basic state matrix according to active load data; obtaining an augmented data source matrix according to the basic state matrix and the influence factor matrix, and obtaining a Pearson correlation coefficient matrix by calculating Pearson correlation coefficients of the coupled meteorological factor index and the active load data; obtaining a source matrix according to the matrices; obtaining the random matrix after performing matrix transformation on the source matrix; obtaining probability density distribution after performing spectrum analysis on characteristic values of the random matrix, and obtaining an abnormality recognition result of the active load data according to comparison between the probability density distribution and historical probability density distribution.

A method for coordinated control of a renewable electrical energy source (RES) and an electrical energy storage (EES) device utilizes a time-dependent forecast of electrical energy production by the RES and a state of charge (SOC) schedule for the EES including at least one SOC target value. A time-varying charge/discharge control signal is configured to ensure that the SOC schedule is satisfied by charging at a rate necessary to meet the SOC target value, while periodically updating the generation of the charge/discharge control signal based upon an updated time-dependent forecast of electrical energy production and/or an updated SOC schedule. A configurable refresh period may be used to limit updates of the time-varying control signal including computation and use of a new basepoint value for aggregated energy supplied from the RES-ESS facility to an electrical grid.

Bids on a power trading market can be performed to improve an economic balance of power generation plants and power companies. In order to solve the above problems, in the present invention, a plant operation assistance system 10 that assists the operation of a thermal power plant 1101 and a pumped storage power plant 1102, which supply power to a power transmission network A, specifies a power amount that can be bid on a power trading market based on net reserve power of the power plants including another company's power generation plant 3001 when power sales on the power transmission network A drop, transmits bid data including the power amount to a power exchange system 20, and can transmit power from the power generation plant to a power transmission network B if contracted by the power exchange system 20.

A cyber-physical integrated restoration method and system for distribution systems based on emergency mobile communications are provided. After extreme natural disasters which cause serious damage to distribution systems, damages of distribution systems are evaluated through system feedback data. When ground communication base stations are unavailable due to the damages, the method can make full use of existing wireless emergency communication resources to provide emergency communication services, and quickly restore the power supply through distribution automation functions with supports of the backup battery of automatic terminal devices, so as to effectively improve the resilience of distribution systems.

A method of dispatching power, an electronic device, and a storage medium, which relate to a field of artificial intelligence technology, and in particular to technical fields such as natural language processing and knowledge graph. The method includes: acquiring a power dispatching question information; determining a question semantic information corresponding to the power dispatching question information, wherein the question semantic information includes an identification of a target substation, a question intention, and a target parameter; and determining an answer information according to the question semantic information and a preset rule base, and outputting the answer information, wherein the answer information is used for a power dispatching of the target substation.

Techniques for customizing knowledge representation systems including identifying, based on a plurality of concepts in a knowledge representation (KR), a group of one or more concepts relevant to user context information, and providing the identified group of one more concepts to a user. The KR may include a combination of modules. The modules may include a kernel and a customized module customized for the user. The kernel may accessible via a second KR.

The disclosure relates to systems, methods and apparatus for analyzing an infrastructure system including measurement of a parameter associated with the infrastructure system, electronically recording the measured parameter as a data, transferring the data to an infrastructure unit which may be remote from the infrastructure system, analyzing the data to generate a risk model, and predicting a characteristic of the infrastructure system according to the risk. An implementation plan may be generated, and/or maintenance services may be performed as per the characteristic that is predicted.

A system and method for determining seasonal energy consumption with the aid of a digital computer is provided. Through a power metering energy loads for a building situated in a known location are assessed as measured over a seasonal time period. Outdoor temperatures for the building are assessed as measured over the seasonal time period through a temperature monitoring infrastructure. A digital computer comprising a processor and a memory that is adapted to store program instructions for execution by the processor is operated, the program instructions capable of: expressing each energy load as a function of the outdoor temperature measured at the same time of the seasonal time period in point-intercept form; and taking a slope of the point-intercept form as the fuel rate of energy consumption during the seasonal time period.

Systems and methods of improving storage and consumption of electricity according to time-based tiered criteria are disclosed. An energy storage system controlled by a processor is optionally connected to a utility power grid, a photovoltaic (PV) power source, and/or electrical loads. Time-of-use (TOU) rates (or similar tiered criteria) are input into the processor, which sets charge and discharge profiles according to the criteria, the arrangement of time windows, and the user's preferences. Energy is stored or discharged according to these profiles. Additionally, the energy storage system may record the production and consumption patterns of the user over time, and use this information to modify the profiles for enhanced performance by allowing discharge during non-peak windows. Benefits include reduced electrical cost to the user, reduced strain on the utility power grid during peak consumption hours, and enhanced performance with regard to any other criteria input into the processor.

A computer-implemented method for providing an estimated utility expenditure to a user may include: obtaining, via one or more processors, historical transactional data of one or more customers other than the user from one or more transactional entities, wherein the historical transactional data includes: at least one address of a given customer of the one or more customers; and a historical utility expenditure associated with the at least one address; generating, via the one or more processors, a heatmap based on the historical transactional data of the one or more customers via one or more algorithms, wherein the heatmap is indicative of at least the estimated utility expenditure associated with the at least one address during a predetermined period; and causing a display of a user device associated with the user to demonstrate the heatmap.