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A Novel Accurate and Fast Converging Deep Learning-Based Model for Electrical Energy Consumption Forecasting in a Smart Grid

机译：一种新型精确和快速融合的智能电网电能消耗预测模型

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Ghulam Hafeez; Khurram Saleem Alimgeer; Zahid Wadud; Zeeshan Shafiq; Mohammad Usman Ali Khan; Imran Khan; Farrukh Aslam Khan; Abdelouahid Derhab;
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1. An Accurate and Fast Converging Short-Term Load Forecasting Model for Industrial Applications in a Smart Grid [J] . Ashfaq Ahmad, Nadeem Javaid, Mohsen Guizani, IEEE transactions on industrial informatics . 2017,第5期

机译：智能电网中工业应用的准确快速收敛的短期负荷预测模型
2. Bayesian Deep Learning-Based Probabilistic Load Forecasting in Smart Grids [J] . Yang Yandong, Li Wei, Gulliver T. Aaron, IEEE transactions on industrial informatics . 2020,第7期

机译：贝叶斯深层学习的智能电网概率负荷预测
3. Energy load forecasting model based on deep neural networks for smart grids [J] . Mohammad Faisal, Kim Young-Chon International journal of systems assurance engineering and management . 2020,第4期

机译：基于智能电网深神经网络的能量负荷预测模型
4. Leveraging multi-granularity energy data for accurate energy demand forecast in smart grids [C] . Zhichuan Huang, Ting Zhu IEEE International Congress on Big Data . 2016

机译：利用多粒度能源数据在智能电网中准确预测能源需求
5. Data analytic-based adaptive forecasting framework for smart energy management in electrical microgrids [D] . Sahraei Manjili, Yashar. 2014

机译：基于数据分析的微电网智能能源管理自适应预测框架
6. Deep Learning-Based Industry 4.0 and Internet of Things towards Effective Energy Management for Smart Buildings [O] . Mahmoud Elsisi, Minh-Quang Tran, Karar Mahmoud, 2021

机译：基于深度学习的行业4.0和对智能建筑有效能源管理的东西互联网
7. Deep Learning-Based Short-Term Load Forecasting Approach in Smart Grid With Clustering and Consumption Pattern Recognition [O] . Dabeeruddin Syed, Haitham Abu-Rub, Ali Ghrayeb, 2021

机译：基于深度学习的智能电网短期负荷预测方法，具有聚类和消费模式识别

A Novel Accurate and Fast Converging Deep Learning-Based Model for Electrical Energy Consumption Forecasting in a Smart Grid

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