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机译:贝叶斯深层学习的智能电网概率负荷预测
Beijing Univ Posts & Telecommun Beijing Key Lab Network Syst Architecture & Conve Beijing 100876 Peoples R China;
Univ Victoria Dept Elect & Comp Engn Victoria BC V8W 2Y2 Canada;
Univ Victoria Dept Elect & Comp Engn Victoria BC V8W 2Y2 Canada;
Beijing Univ Posts & Telecommun Beijing Key Lab Network Syst Architecture & Conve Beijing 100876 Peoples R China;
Deep learning; Bayes methods; Probabilistic logic; Load forecasting; Smart meters; Uncertainty; Forecasting; Bayesian deep learning; clustering-based pooling; multitask learning (MTL); probabilistic load forecasting (PLF);
机译:基于深度学习的智能电网的概率负荷预测
机译:基于学习的综合模型在智能电网中的电力负荷预测
机译:智能电网电力负荷预测的综合学习模型
机译:基于变分贝叶斯深度学习模型的电网项目成本控制指数的概率预测
机译:智能电网中任务的负载预测和鲁棒资源调度
机译:在修改熵互信息特征选择中在智能房屋中使用深度学习模型预测中期负荷
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