Comprehensive energy electricity-cold-heat load prediction method and device and storage medium
The invention relates to the technical field of energy load prediction, in particular to a comprehensive energy electricity-cold-heat load prediction method and device and a storage medium, and the method comprises the steps: collecting meteorological data and load data, and carrying out the preproc...
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| creator | WANG XUANHENG SUN XIAORONG CHEN JUNYI WANG BAOQUN HU ZHITAO YAN BINCHENG QIU KAI ZHANG CHENXIAO |
| description | The invention relates to the technical field of energy load prediction, in particular to a comprehensive energy electricity-cold-heat load prediction method and device and a storage medium, and the method comprises the steps: collecting meteorological data and load data, and carrying out the preprocessing of the data; decomposing and reconstructing the preprocessed data into three groups of time sequence data with a high frequency band, a middle frequency band and a low frequency band by utilizing a wavelet decomposition algorithm; based on a causal correlation analysis method, related meteorological factor data and power-cold-heat load data of the integrated energy system are screened out; the method comprises the following steps: constructing an electricity-cold-heat load prediction model based on a partial decoupling extended Kalman filtering neural network, training the neural network by adopting a partial decoupling extended Kalman filtering algorithm, and training the load prediction model; and using th |
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decomposing and reconstructing the preprocessed data into three groups of time sequence data with a high frequency band, a middle frequency band and a low frequency band by utilizing a wavelet decomposition algorithm; based on a causal correlation analysis method, related meteorological factor data and power-cold-heat load data of the integrated energy system are screened out; the method comprises the following steps: constructing an electricity-cold-heat load prediction model based on a partial decoupling extended Kalman filtering neural network, training the neural network by adopting a partial decoupling extended Kalman filtering algorithm, and training the load prediction model; and using th</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTINGELECTRIC POWER COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING CONVERSION OR DISTRIBUTION OF ELECTRIC POWER COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ELECTRIC DIGITAL DATA PROCESSING ELECTRICITY GENERATION PHYSICS SYSTEMS FOR STORING ELECTRIC ENERGY SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
| title | Comprehensive energy electricity-cold-heat load prediction method and device and storage medium |
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