Highly accurate energy consumption forecasting model based on parallel LSTM neural networks

被引：0
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作者：
Jin, Ning [1 ]
Yang, Fan [1 ]
Mo, Yuchang [2 ]
Zeng, Yongkang [1 ]
Zhou, Xiaokang [3 ,4 ]
Yan, Ke [5 ]
Ma, Xiang [1 ]
机构：
[1] Key Laboratory of Electromagnetic Wave Information Technology and Metrology of Zhejiang Province, College of Information Engineering, China Jiliang University, Hangzhou,310018, China
[2] Fujian Province University Key Laboratory of Computational Science, School of Mathematical Sciences, Huaqiao University, Quanzhou,362021, China
[3] Faculty of Data Science, Shiga University, Hikone,5228522, Japan
[4] RIKEN Center for Advanced Intelligence Project, RIKEN, Tokyo,1030027, Japan
[5] College of Design and Engineering, National University of Singapore, 117566, Singapore
来源：
Advanced Engineering Informatics | 2022年 / 51卷
关键词：
This work is partially supported by supported by the Ministry of Education (MOE) Singapore; Tier 1 funding under grant number R296000208133 and also supported in part by the National Natural Science Foundation of China under grant number 61972156 and Program for Innovative Research Team in Science and Technology in Fujian Province University;
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