机译:具有针对气候敏感和非气候敏感条件的四种机器学习模型的智能能源预测策略
The State Key Laboratory of Internet of Things for Smart City and Department of Electrical and Computer Engineering University of Macau Macau 999078 China School of Energy and Power Engineering Huazhong University of Science and Technology Wuhan China;
School of Energy and Power Engineering Huazhong University of Science and Technology Wuhan China;
The State Key Laboratory of Internet of Things for Smart City and Department of Electrical and Computer Engineering University of Macau Macau 999078 China;
Supervised learning; Utilities and building consumption; Energy forecasting; Imbalanced data handling; Performance correlation; Energy benchmark;
机译:三种不同的机器学习模型在智能电网环境中预测区域级别中长期和长期能源需求的潜力
机译:迈向智能电网中基于统计建模和机器学习的能耗预测
机译:高级极端学习机与峰值波动期预测的深度学习模型 - 以澳大利亚昆士兰州为例
机译:使用机器学习模型进行智能社区能源管理的短期电力负荷预测
机译:运行的短程(SR2LR)流流量预测不良播种盆地:变分合奏预测的未开发维度,建模范式的时空结构,以及机器学习策略的作用
机译:利用基于集群的策略在智能建筑中传输学习的多种电能消耗预测
机译:能源密集型制造的短期企业级能耗预测:机器学习与深层学习模型的比较