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Power load forecasting solution
Establish intelligent load decomposition and reconstruction technology, realize accurate power load forecasting through in-depth learning model building, provide forecasting basis, and assist grid companies in power dispatching and power generation and consumption side planning management
Cooperation consulting
Scheme introduction
Scheme architecture
Application scenarios
Characteristic advantages
Scheme introduction
data processing
Integration of processing multi-source data, efficient processing of molding data through automatic abnormal data detection and processing
model prediction
Through the establishment of deep learning model, the daily load change can be predicted intelligently, and the prediction results and basis can be displayed
Evaluation of results
Real time and fast calculation of prediction accuracy in historical periods and user-defined evaluation indicators are convenient for results evaluation and comparative analysis
Scheme architecture
Application scenarios
Grid dispatching
Virtual power plant
Smart charging
Cooperation of wind, solar and storage
Grid dispatching
Using advanced AI technology capabilities, combined with the experience of experts in the power industry, accurate prediction of load and new energy power generation can be achieved, providing an important basis for the reasonable dispatching of power grid companies, and maintaining the security and stability of power grid operation
Characteristic advantages
Technology integration and innovation
Based on the advanced deep neural network technology, it can quickly learn the bus load time series mode of short-term and short-term mixture, and use optimization technologies such as parameter momentum to greatly improve the generalization ability of the model
Efficient and optimal
It can flexibly and quickly produce the optimal model effect according to the differentiated requirements in various application scenarios
Fast and standard
Provide standard API interface, configure background, and realize fast access with minimum development cost
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