Research Article
IEC-FOF: An Industrial Electricity Consumption Forecasting and Optimization Framework
@INPROCEEDINGS{10.1007/978-3-031-28990-3_8, author={Fei Teng and Yanjiao Chen and Wenyuan Xu}, title={IEC-FOF: An Industrial Electricity Consumption Forecasting and Optimization Framework}, proceedings={Edge Computing and IoT: Systems, Management and Security. Third EAI International Conference, ICECI 2022, Virtual Event, December 13-14, 2022, Proceedings}, proceedings_a={ICECI}, year={2023}, month={3}, keywords={Industrial electricity Electricity consumption forecasting Time series analysis}, doi={10.1007/978-3-031-28990-3_8} }- Fei Teng
Yanjiao Chen
Wenyuan Xu
Year: 2023
IEC-FOF: An Industrial Electricity Consumption Forecasting and Optimization Framework
ICECI
Springer
DOI: 10.1007/978-3-031-28990-3_8
Abstract
To achieve carbon peaking and carbon neutrality goals, large-scale electricity consumption units such as factories and buildings need comprehensive solutions for energy saving and cost reduction. We propose a framework for industrial electricity consumption prediction and optimization based on multi-source information fusion namedIEC-FOF. We design the electricity consumption prediction module by utilizing historical data, weather, and date info. Besides, we realize an electricity consumption optimization module based on clustering methods, including typical abnormal electricity consumption action identification, electricity consumption pattern recognition, and electricity consumption optimization suggestions.
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