Air conditioner load prediction method and device and storage medium

• Main Authors: GAO WENZHONG, ZHUANG JIAN, JIN FENG, GE HAIHUA
• Format: Patent
• Language: Chinese; English
• Published: 25.09.2020
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention discloses an air conditioner load prediction method and device and a storage medium, and the method comprises the steps: building an air conditioner system operation and load database, and obtaining a plurality of IMF components and trend term sequences; obtaining training set data and prediction set data; obtaining a plurality of normalized IMF components and a normalized trend termsequence; constructing an air conditioner load prediction LSTM model according to the training set data; inputting each IFM component and trend term sequence data of the normalized test sample into the constructed LSTM model, and performing reverse normalization processing on each output result of the LSTM model to obtain a prediction result of each IMF component and trend term sequence; and according to the prediction result, obtaining an air conditioner load prediction value, so that the purpose is to adopt a long-term and short-term memory neural network to perform prediction modeling on different component sequen