HIGHLIGHTS
- who: Shaokun Liang and colleagues from the School of Statistics and Mathematics, Zhongnan University of Economics and Law, Wuhan, China have published the research: Energy consumption prediction using the GRU-MMattention-LightGBM model with features of Prophet decomposition, in the Journal: PLOS ONE of 21/01/2022
- what: In previous research on energy consumption forecasting researchers have constantly proposed improved neural network prediction models or improved machine learning models to predict time series Combining the well-performing machine learning model and neural network model in energy consumption prediction the authors propose a hybrid model architecture . . .
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