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Day Ahead Electric Load Forecasting by an Intelligent Hybrid Model Based on Deep Learning for Smart Grid.

, , , , , и . CISIS, том 993 из Advances in Intelligent Systems and Computing, стр. 36-49. Springer, (2019)

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Ghulam Murtaza

Abdul Hafeez

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Ghulam Rasulyar

 

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An Innovative Model Based on FCRBM for Load Forecasting in the Smart Grid., , , , , и . CISIS, том 993 из Advances in Intelligent Systems and Computing, стр. 604-617. Springer, (2019)Prognostication of Failures Using Signal-to-Noise Ratio to Determine Partial Discharges Activities in Power Transformers., , , , , и . IEEE Access, (2022)An Innovative Model Based on FCRBM for Load Forecasting in the Smart Grid., , , , , и . IMIS, том 994 из Advances in Intelligent Systems and Computing, стр. 49-62. Springer, (2019)Demand Response for Optimal Power Usage Scheduling Considering Time and Power Flexibility of Load in Smart Grid., , , , , , , , и . IEEE Access, (2023)Real-Time Scheduling for Optimal Energy Optimization in Smart Grid Integrated With Renewable Energy Sources., , , , , , , и . IEEE Access, (2022)Optimal Residential Load Scheduling Under Utility and Rooftop Photovoltaic Units., , , , , , , и . 3PGCIC, том 13 из Lecture Notes on Data Engineering and Communications Technologies, стр. 142-153. Springer, (2017)Day Ahead Electric Load Forecasting by an Intelligent Hybrid Model Based on Deep Learning for Smart Grid., , , , , и . CISIS, том 993 из Advances in Intelligent Systems and Computing, стр. 36-49. Springer, (2019)An Innovative Optimization Strategy for Efficient Energy Management With Day-Ahead Demand Response Signal and Energy Consumption Forecasting in Smart Grid Using Artificial Neural Network., , , , , , и . IEEE Access, (2020)Energy Efficient Integration of Renewable Energy Sources in the Smart Grid for Demand Side Management., , , , , и . IEEE Access, (2018)An Optimal Adaptive Control Strategy for Energy Balancing in Smart Microgrid Using Dynamic Pricing., , , , , , , и . IEEE Access, (2022)