HIGHLIGHTS
- who: KE YAN and collaborators from the Laboratory of Electromagnetic Wave Information Technology Metrology of Zhejiang Province, College of Information Engineering, China Jiliang University, Hangzhou, China have published the research work: A Hybrid LSTM Neural Network for Energy Consumption Forecasting of Individual Households, in the Journal: (JOURNAL)
- what: In this study a hybrid deep learning model is proposed combining an ensemble long short term memory (LSTM) neural network with the stationary wavelet transform (SWT) technique. This study proposed a hybrid ensemble deep learning framework aiming at the energy consumption forecasting problem of individual households.
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