王正平,卢玉洋,王彬,高冰,沈杨松.基于SVMD-MASSA-NLSTM的台区短期负荷预测[J].河北电力技术,2023(06).

吴迪,段晓旋,马超.SSA优化混合RNN的短期电力负荷预测[J].河北电力技术,2023(04).

余帆,王磊,江巧永,闫群民,皇金锋.基于特征筛选的VMD-MIC-SSA-Informer短期负荷预测[J].陕西科技大学学报,2022(05).

杨海柱,田馥铭,张鹏,石剑.基于CEEMD-FE和AOA-LSSVM的短期电力负荷预测[J].电力系统保护与控制,2022(13).

Zhang Qingyong,Chen Jiahua,Xiao Gang,He Shangyang,Deng Kunxiang.TransformGraph: A novel short-term electricity net load forecasting model[J].Energy Reports,2023.

Wang Yongjie,Zhan Changhong,Li Guanghao,Zhang Dongjie,Han Xueying.Physics-guided LSTM model for heat load prediction of buildings[J].Energy & Buildings,2023.

Tian Yuqian,Wang Dazhi,Zhou Guolin,Wang Jiaxing,Zhao Shuming,Ni Yongliang.An Adaptive Hybrid Model for Wind Power Prediction Based on the IVMD-FE-Ad-Informer.[J].Entropy (Basel, Switzerland),2023.

Ma Zherui,Wang Jiangjiang,Dong Fuxiang,Wang Ruikun,Deng Hongda,Feng Yingsong.A decomposition-ensemble prediction method of building thermal load with enhanced electrical load information[J].Journal of Building Engineering,2022.

Wu Ze,Pan Feifan,Li Dandan,He Hao,Zhang Tiancheng,Yang Shuyun.Prediction of Photovoltaic Power by the Informer Model Based on Convolutional Neural Network[J].Sustainability,2022.

Niu Dongxiao,Yu Min,Sun Lijie,Gao Tian,Wang Keke.Short-term multi-energy load forecasting for integrated energy systems based on CNN-BiGRU optimized by attention mechanism[J].Applied Energy,2022.

Zhou Mengran,Hu Tianyu,Bian Kai,Lai Wenhao,Hu Feng,Hamrani Oumaima,Zhu Ziwei.Short-Term Electric Load Forecasting Based on Variational Mode Decomposition and Grey Wolf Optimization[J].Energies,2021.

aff > .Comparison of time-frequency-analysis techniques applied in building energy data noise cancellation for building load forecasting: A real-building case study[J].Energy and Buildings,2020.

Sun Ying,Haghighat Fariborz,Fung Benjamin C.M..A Review of the-State-of-the-Art in Data-driven Approaches for Building Energy Prediction[J].Energy & Buildings,2020.

Liu Junyu,Wang Xiao,Zhao Yan,Dong Bin,Lu Kuan,Wang Ranran.Heating Load Forecasting for Combined Heat and Power Plants Via Strand-Based LSTM[J].IEEE Access,2020.

Feifei He,Jianzhong Zhou,Zhong-kai Feng,Guangbiao Liu,Yuqi Yang.A hybrid short-term load forecasting model based on variational mode decomposition and long short-term memory networks considering relevant factors with Bayesian optimization algorithm[J].Applied Energy,2019.

Tingting Fang,Risto Lahdelma.Evaluation of a multiple linear regression model and SARIMA model in forecasting heat demand for district heating system[J].Applied Energy,2016.

M. Ghofrani,M. Ghayekhloo,A. Arabali,A. Ghayekhloo.A hybrid short-term load forecasting with a new input selection framework[J].Energy,2015.

Shyh-Jier Huang,Kuang-Rong Shih.Short-term load forecasting via ARMA model identification including non-Gaussian process considerations[J].IEEE Transactions on Power Systems: A Publication of the Power Engineering Society,2003.