12 results about "Energy indicators" patented technology

The invention discloses an energy storage system fault database indexing method, and particularly relates to the technical field of fault prediction. The method comprises the following steps: firstly, constructing an energy disturbance vector sequence matrix in a unified time window, extracting features based on a continuous variation rate and energy residual distribution, and generating an energy disturbance feature spectrogram; establishing an energy propagation path atlas in combination with a system module topological relation, and introducing a time sequence consistency identifier; a fault evolution fingerprint is generated through graph embedding coding, similarity index matching is carried out in combination with a standard fault trajectory, and a fault type and a positioning weight are output; real-time energy indexes are further fused, a micro-fault position prediction map is generated, and dynamic early warning is achieved; according to the method, accurate identification and visual positioning of the micro-fault of the energy storage system in a complex scene can be realized, and the operation safety and the intelligent operation and maintenance capability of the system are improved.

In one aspect of the present disclosure, a method, computer readable medium, and apparatus are provided. The method may be performed by a UE. In certain configurations, the UE receives one or more energy metrics from a network, the one or more energy metrics being used to indicate energy information for the network. And the UE determines a green level of a network resource based on the energy information of the network. And the UE selects a network resource from the network according to the energy configuration and the determined green level of the network resource. The UE communicates with the selected network resource.

The invention provides a dynamic reserve calculation method and device for data impurity removal and produced water treatment, and the method comprises the steps: obtaining the real-time production data of an oil reservoir well in an elastic drive stage, and removing the impurity data in the real-time production data in the elastic drive stage, according to whether the data quantity meeting the linear fitting requirement in the fitting variables meets the condition of the preset data quantity or not, the linear proportion parameter of the formation pressure about the cumulative oil production value or the linear proportion parameter of the formation pressure about the conversion cumulative liquid production value is obtained, and the reservoir dynamic reserves are obtained by selecting different forms of reserve calculation formulas. According to the dynamic reserve calculation method and device provided by the invention, data in production stages such as pumping, water injection and gas injection are avoided, disturbance of multiple data impurities to an energy indication curve is reduced, a calculation result is more accurate and reliable, a simple water production calculation processing flow is established through condition judgment, decision implementation and calculation functions, and the calculation efficiency is improved. And the calculation efficiency of oil wells with different water production conditions is improved.

To provide an energy index calculation method, a program concerning a calculation system for human power-driven vehicles, and a calculation system for human power-driven vehicles making it possible to calculate an energy index concerning travel of a human power-driven vehicle.SOLUTION: An energy index calculation method includes first processing of calculating an energy index concerning travel of a human power-driven vehicle on the basis of a first parameter concerning the travel of the human power-driven vehicle at a first travel point and a second parameter concerning the travel of the human power-driven vehicle at a second travel point different from the first travel point. The first parameter includes a first vehicle speed and first height at the first travel point, and the second parameter includes a second vehicle speed and second height at the second travel point.SELECTED DRAWING: Figure 2

A method (2300) performed by a first network node (901) for coordinating with a second network node (902) with respect to a user equipment, UE, energy state assistance information, UE-ESAI, configuration for a UE (900) or a group of UEs currently being served by the first network node. The method includes generating (s2302) a first coordination message. The method also includes transmitting (s2304) the first coordination message to the second network node. The first coordination message comprises information related to configuring the UE or the group of UEs to store and / or report UE-ESAI, and the UE-ESAI comprises a measured or estimated first energy metric.

The invention discloses an energy transformation and digital economy collaborative analysis method and system based on artificial intelligence, and relates to the technical field of computer models. The energy transformation and digital economy collaborative analysis method based on artificial intelligence comprises the following steps of database construction, data query and data extraction and comprehensive evaluation. According to the method, the energy index database is constructed, then whether query optimization is performed or not is judged based on query monitoring parameters after the data query request is received, finally, feature extraction is performed on the queried energy indexes, and whether a feature extraction life cycle management mechanism is triggered or not is judged based on the extracted energy index features. After a feature extraction life cycle management mechanism is triggered, the extracted energy index features are subjected to quantitative evaluation to construct an energy transformation maturity evaluation model, so that the accuracy of energy transformation quantitative evaluation is improved; the problem that in the prior art, due to the fact that data version updating and mapping updating are not matched, energy transformation quantitative evaluation accuracy is low is solved.

This disclosure relates to a fuel cell system for vehicles that includes a controller which, among other things, regulates the stack flow and purge or drain valve operations based on an energy indicator used to monitor cell voltage. If the energy indicator exceeds a predefined threshold, the controller reduces the stack flow or adjusts the purge or drain valve—either opening it to reduce flooding or closing it to prevent desiccation.

This disclosure relates to a fuel cell system for vehicles that includes a controller that manages, among other things, the stack current and purge valve or drain valve operations based on a cell voltage monitoring energy indicator. When the energy indicator exceeds a predefined threshold, the controller reduces the stack current or adjusts the purge valve or drain valve—either opening it to mitigate flooding or closing it to prevent drying out.

This invention relates to the field of power grid technology and discloses a method for virtual energy storage aggregation and control of green electricity in ports. The method includes: acquiring aggregation scenario and resource data; generating a power hard constraint mapping and a sub-stake execution reference by calculating multi-band energy indicators and identifying system power transfer characteristics; generating a local fast control configuration set by solving the virtual impedance feasible region and combining it with the power hard constraint amortization compensation budget; fusing the sub-stake execution reference (slow channel) generated based on the power hard constraint with the fast channel execution trajectory obtained after local online execution compensation, and performing priority arbitration under the constraints of the power hard constraint to output the final execution power trajectory. This invention constructs a two-layer control architecture of slow channel planning + fast channel compensation, and through the core link of power hard constraint mapping, ensures the coordinated operation of fast and slow channels and the safety and stability of the entire system, providing the power grid with fast and reliable dynamic support capabilities.

The invention provides a carbon peak reaching prediction method and device based on electricity-certificate-carbon and model selection, and the method comprises the steps: inputting the magnitudes of a plurality of economic indexes, the magnitudes of a plurality of population indexes, and the magnitudes of a plurality of energy indexes into a first model, and obtaining first prediction values of a plurality of energy indexes; inputting the quantity values of the plurality of scientific and technical indexes and the quantity values of the plurality of energy indexes into a second model to obtain second predicted values of the plurality of energy indexes; inputting the quantity values of the plurality of electricity-evidence-carbon indexes into a third model to obtain a predicted value of a key index in the plurality of electricity-evidence-carbon indexes; inputting the quantity values of the plurality of carbon emission indexes, the quantity values of the plurality of energy indexes, the first predicted values of the plurality of energy indexes and the second predicted values of the plurality of energy indexes into a fourth model to obtain an initial carbon peak reaching prediction result; and inputting the initial carbon peak-reaching prediction result and the predicted value of the key index into a fifth model to obtain a final carbon peak-reaching prediction result. And more indexes are combined, so that the accuracy of carbon peak reaching prediction is improved.

The application provides an intelligent detection method and device for energy abnormal channels, electronic equipment and a storage medium. Through shot point and receiving node distance sorting and first break line leveling processing, geometric distortion and time difference interference in original data are eliminated, and the accuracy of subsequent analysis is improved. Local energy indicators are extracted to capture small abnormalities and enhance the sensitivity to local energy such as noise and local geological abnormal mutation. Global energy indicators are extracted to identify overall energy such as systematic equipment failure or large-scale geological change trend abnormalities, avoid one-sidedness of local detection, and improve detection comprehensiveness. A multi-classification deep network model is adopted, energy sample label data is supervised and trained, classification robustness is improved, the detection and quality control effect of node channel data energy abnormal channels in the seismic data acquisition site quality control is improved, the model output is determined by the most common type of statistics, accidental errors are reduced, and the result stability is enhanced.

The invention provides a carbon peak reaching prediction method and device based on electricity-certificate-carbon and index quantification. The method comprises the following steps: obtaining the quantity values of a plurality of energy indexes, the quantity values of a plurality of economic indexes, the quantity values of a plurality of scientific and technological indexes, the quantity values of a plurality of population indexes and the quantity values of a plurality of electricity-certificate-carbon indexes of a target object in target historical time; selecting a target number of energy indexes, economic indexes, scientific and technological indexes, population indexes and electricity-certificate-carbon indexes with the highest correlation; calculating the weight of each energy index, the weight of each economic index, the weight of each scientific and technological index, the weight of each population index and the weight of each electricity-certificate-carbon index; and inputting the quantity values and the weights of the indexes of the target number into a carbon peak-reaching prediction model, and determining the content output by the carbon peak-reaching prediction model as a carbon peak-reaching prediction result. And the accuracy of carbon peak reaching prediction for different regions or industries can be improved.