15 results about "Energy policy" patented technology

The invention discloses a multi-level construction and intelligent recall strategy implementation method, system and device for an energy policy knowledge graph and a medium, and belongs to the technical field of energy policy monitoring, and the method comprises the steps: obtaining energy policy text data, carrying out energy policy correlation analysis, and extracting entity information, relation clues and text vector representation from an energy policy text; carrying out knowledge graph construction by utilizing the extracted entity information, relation clues and vector representation, and generating a knowledge graph structure comprising an entity type, an entity attribute, a relation type and confidence; updating the knowledge graph according to the operations of newly adding, revising and revoking the policy document; and executing a multi-path recall strategy including longitudinal traceability recall and transverse comparison recall by using the knowledge graph structure, and generating a relevance recall result related to the target policy. According to the invention, efficient traceability, accurate comparison and full-link intelligent management of energy policies are realized, and the policy retrieval efficiency and accuracy are remarkably improved.

The invention discloses a dynamic knowledge graph construction and application method, system and device for energy policy influence conduction analysis and a medium, and the method comprises the steps: carrying out the multi-dimensional knowledge extraction of an energy policy text through employing a first adaptive extraction model, and outputting a structured knowledge triple; constructing a dynamic multi-subject knowledge graph; performing deduction search on the potential association path through a first influence search algorithm, and identifying a key policy influence conduction chain; an event-driven knowledge graph closed-loop self-evolution mechanism is established, policy change events are captured in real time through automatic monitoring, and incremental updating and structure correction of the dynamic multi-subject knowledge graph are triggered; and constructing a scene-oriented personalized application service interface according to the dynamic multi-subject knowledge graph, converting a user natural language query into a graph query instruction, and generating a scene response in combination with a retrieval result. According to the invention, the cost of manual arrangement and maintenance is obviously reduced, and the working efficiency and expandability of the system are improved.

The invention provides an energy policy text structuring and correlation analysis method, and belongs to the technical field of policy analysis. The method comprises the following steps: collecting and preprocessing an energy policy text; performing semantic analysis and structured processing on the policy text based on a large language model, determining release time and semantic tags, and disassembling the policy text into structured semantic units; constructing a time sequence association relationship, a hyponymy logic association relationship and a semantic association relationship among policies according to the release time and the semantic unit; constructing an energy policy knowledge graph based on the association relationship and visually displaying the energy policy knowledge graph; and policy interpretation, trend tracking and cross-time and cross-region policy association comparative analysis are carried out by using the constructed knowledge graph. According to the method, intelligent processing and deep mining of the policy text are realized through structured processing and multi-dimensional correlation analysis of the energy policy text, and a systematic policy analysis tool is provided for policy formulators and researchers.

This invention belongs to the field of power system analysis and load forecasting technology, and discloses a method and device for forecasting residential electricity consumption. The method couples the population structure subsystem, socio-economic subsystem, and residential electricity consumption system to construct a closed-loop feedback system, forming a system dynamics model. Based on the current initial value of per capita electricity consumption and the calculated rate of change of per capita electricity consumption, the predicted per capita electricity consumption is calculated. This invention can effectively reflect the dynamic evolution of electricity demand under multi-factor coupling conditions, and can provide intuitive and reliable decision-making basis for power grid planning, power load management, and energy policy formulation. It is applicable to medium- and long-term forecasting scenarios of residential electricity consumption at different regional scales.

This invention relates to the field of new energy development technology and discloses a new energy assessment method, device, and computer equipment based on mountainous valley regions. This invention targets new energy development areas in mountainous valley terrain and, using meteorological and hydrological coupling software, comprehensively assesses the exploitable wind, solar, and hydropower resources within these areas. Areas not designated as new energy development areas (steep slope areas) are excluded, thereby improving the accuracy of the assessment results and ensuring that the results more accurately reflect the actual exploitable resource quantity. This provides accurate assessment data support for renewable energy development in mountainous valley regions with complex terrain, contributing to the formulation of reasonable energy policies and long-term development plans.

Methods and apparatuses for energy policy reinforcement during energy conservation tasks. A method for managing service quality of one or more applications includes receiving application energy tolerance information for an application and receiving energy consumption information associated with the application. The application energy tolerance information includes at least one tolerance value indicating an amount of service quality degradation permitted for the application under one or more energy constraints and at least one service quality level at which the tolerance value is to be applied. The method further includes determining that at least one of the one or more energy constraints is satisfied based on the energy consumption information and the application energy tolerance information, determining, based on the application energy tolerance information, degraded quality of service (QoS) configurations for the application at the at least one service quality level, and enforcing the degraded QoS configurations for the application.

The invention discloses an energy transformation index quantification method based on power data comprehensive evaluation integration, and the method is mainly used in the field of energy transformation evaluation, such as energy policy making, energy investment decision making, energy technology development direction and the like. The method comprises the following steps of: constructing an index system; solving a weight by using CRITIC-BWM; and performing fuzzy comprehensive evaluation. The method comprises the following steps: S1, when an index system is constructed, from four dimensions of an energy supply structure, electric power cleaning, policy support and economic benefits, refining twelve secondary indexes such as a renewable energy source ratio, a traditional energy source ratio, an energy self-sufficiency rate and the like; s2, calculating the weight by using the CRITIC-BWM method, namely calculating an objective weight by using a CRITIC method and calculating a subjective weight by using a BWM method, and finally carrying out weight synthesis; and S3, fuzzy comprehensive evaluation comprises two steps of fuzzy set construction and fuzzy comprehensive model evaluation, and the final evaluation grade of the energy transformation index is determined and the influence of each index is analyzed by calculating the index membership degree, constructing a fuzzy relation matrix and combining a final weight vector with the fuzzy relation matrix.

An energy manager stores and manages target energy policies for a processing device. Each target energy policy defines one or more policy-triggering criteria and at least one target energy action in response to satisfaction of the policy-triggering criteria. Each set of policy-triggering criteria depends, at least in part, on a power usage score that the energy manager dynamically determines for the processing device based on energy consumption metrics captured for the processing device.

The disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. A method, performed by a Policy Charging Function (PCF), comprising: transmitting, to a Session Management Function (SMF), an energy policy related to energy credit controlling, receiving, from the SMF, an event notification; and, transmitting, to an Application Function (AF), the event notification, wherein the policy is transmitted from the PCF to Online Charging System (OCS) via the SMF, wherein the event notification is triggered at the OCS and transmitted from the OCS to the PCF via the SMF in case that the OCS identifies AMF SMF that the policy includes energy control policy and aggregate energy cost is larger than energy credit limit based on the policy.

The invention discloses an NLP-based energy policy information intelligent collection and classification arrangement method, system and device and a medium. The method comprises the steps of collecting energy policy data of multiple information sources and performing first processing; performing semantic segmentation and structured recombination on the data based on a first adaptive segmentation algorithm, and identifying a starting point and a hierarchical relationship of policy terms; extracting first key information from the structured policy text; performing subject classification and multi-label assignment on the policy text, and classifying the policy into a predefined multi-layer label system by using a first fusion algorithm; and storing the classified, extracted and vectorized policy data into a database, constructing a dual-mode storage structure, constructing an intelligent retrieval interface supporting keyword retrieval and semantic retrieval, and providing policy association analysis and content generation services. According to the invention, the collection, arrangement, management and utilization level of energy policy information in the power grid field is improved, and a solid guarantee and innovation path is provided for industry digital transformation and efficient policy response.

The invention belongs to the technical field of new energy consumption cost calculation, and relates to a new energy consumption cost quantitative calculation method in a market environment. The method comprises the following steps: S1, extracting and constructing a new energy multi-dimensional characteristic vector; s2, establishing a mapping relation between the multi-dimensional feature vectors and the clearing boundaries of the power market, and calculating the demand up-regulation amount of each clearing boundary; s3, constructing an operation model corresponding to each time scale, and forming an operation constraint set; s4, identifying and classifying additional cost to form a consumption cost list; and S5, cost quantitative measurement and calculation are carried out, an operation simulation model and a long-term planning model are constructed and solved, the total system cost of the reference scene and the actual new energy characteristic scene is calculated and compared, and the difference value is the total consumption cost caused by the new energy characteristics. According to the method, the physical characteristics of new energy can be converted into quantifiable economic signals, so that more economical, efficient and safe novel power system transformation is supported and realized in multiple key fields such as power market construction, power grid planning and operation, energy policy making and the like.

Several examples disclose systems and methods for predictive energy storage control at the data center level. One or more circuits can receive energy consumption data from a multitude of data center components for an initial period. Using at least one predictive model and based on at least the energy consumption data, the one or more circuits can generate a predicted energy consumption for the multitude of components for a second period following the first. Based on at least the predicted energy consumption and a data center state, the one or more circuits can determine an energy policy for the multitude of components and cause the multitude of components to limit their energy consumption for the second period according to the energy policy.

The present disclosure relates to a 5G or 6G communication system for supporting higher data transmission rates. An operation method of a terminal in a wireless communication system according to an embodiment of the present disclosure may comprise the steps in which: the terminal receives, from an application function (AF) of a network, service access information including first information about an energy source type; the terminal selects, on the basis of the first information, an energy source type used by the network; and the terminal transmits second information about the selected energy source type to the AF of the network.

The invention discloses a crude oil demand structured prediction method, which comprises the steps of collecting crude oil demand data including crude oil consumption data, product oil consumption data, finished product demand data and related factor data, establishing a prediction model through a data set according to the established data set, and determining main factors influencing the crude oil demand through the prediction model. Comprise domestic and overseas economic growth speed, industrial production, transportation, energy policies and market conditions of energy substitutes; the method comprises the following steps: acquiring a feature data set related to crude oil demand, generating a prediction model by using a sequence of the feature data set to obtain an initial prediction result, constructing a data matrix by using the feature data set, and normalizing the initial prediction result and the data matrix to obtain a crude oil demand prediction result. Performing model training on a CNN convolutional neural network model by using the normalized data; and finally predicting a feature data set by using a trained prediction model.

The invention relates to the technical field of carbon emission prediction and energy policy analysis. According to the STIRPAT model scene analysis-based carbon emission total amount and carbon peak time prediction method, scenes under different energy policy influences are generated, an established STIRPAT model is combined to predict the carbon emission total amount and the carbon peak time, influence factors related to the energy industry, such as the population scale, the regional total production value, the energy consumption and the energy intensity, are focused on, and the prediction accuracy is improved. Development scenes under the influence of different energy policies are obtained, the scenes are substituted into the model to obtain the predicted total carbon emission amount and carbon peak reaching time, energy policy suggestions are given, effective reference is provided for formulating reasonable energy policies meeting requirements, and dual-carbon target implementation is promoted.