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Two-layer Optimization of Energy Efficiency Based on Provincial Smart Energy Service Platform

The study relies on the provincial smart energy service platform of Jiangsu Province, optimizes its accurate prediction module of energy consumption and the energy efficiency improvement module, and proposes an efficiency improvement strategy based on the two modules of the platform. The accurate pr...

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Bibliographic Details
Published in:Journal of physics. Conference series 2023-03, Vol.2465 (1), p.12025
Main Authors: Cheng, Baohua, Zhang, Hualu, Deng, Boya, Shi, Jie, Zhou, Xiaofei, Su, Huiling, Ren, Yucheng, Ji, Ruilin
Format: Article
Language:English
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Summary:The study relies on the provincial smart energy service platform of Jiangsu Province, optimizes its accurate prediction module of energy consumption and the energy efficiency improvement module, and proposes an efficiency improvement strategy based on the two modules of the platform. The accurate prediction module adopts the data processing and feature analysis method based on STL-MIC and builds a deep learning framework based on CNN-BiLSTM. The projected predicted data is then input to the energy efficiency improvement module, which employs the method of flexible load scheduling to achieve the best configuration of demand-side resources.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/2465/1/012025