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

, , , , , and . CISIS, volume 993 of Advances in Intelligent Systems and Computing, page 36-49. Springer, (2019)

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