Comparison of artificial neural network models of categorized daily electric load by Vildan Evren, İlker Ali Ozkan

Subjects: “…short term electric load forecast…”
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Optimization and loss estimation in energy-deficient polygeneration systems: A case study of Pakistan's utilities with integrated renewable energy by Muhammad Shoaib Saleem, Naeem Abas

Subjects: “…Load forecast…”
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Using crafted features and polar bear optimization algorithm for short-term electric load forecast system by Mansi Bhatnagar, Gregor Rozinaj, Radoslav Vargic

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Fusion ConvLSTM-Net: Using Spatiotemporal Features to Increase Residential Load Forecast Horizon by Abhishu Oza, Dhaval K. Patel, Bryan J. Ranger

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A Cross-Regional Load Forecasting Method Based on a Pseudo-Distributed Federated Learning Strategy by Jinsong Deng, Shaotang Cai, Weinong Wu, Rong Jiang, Hongyu Deng, Jinhua Ma, Yonghang Luo

Subjects: “…Load forecasting…”
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Personalized Federated Learning for Heterogeneous Residential Load Forecasting by Xiaodong Qu, Chengcheng Guan, Gang Xie, Zhiyi Tian, Keshav Sood, Chaoli Sun, Lei Cui

Subjects: “…load forecasting…”
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Short-Term Load Forecasting in Power Systems Based on the Prophet–BO–XGBoost Model by Shuang Zeng, Chang Liu, Heng Zhang, Baoqun Zhang, Yutong Zhao

Subjects: “…short-term load forecasting…”
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FUZZY LOGIC APPROACH TO ENERGY PLANNING IN NIGERIA by ADE-IKUESAN OLANIKE OLUFISAYO, ATILOLA MORUFDEEN OLATUNBOSUN, OYEDEJI AJIBOLA OLUWAFEMI, ADEYEMI HEZEKIAH OLUWOLE

Subjects: “…energy planning, load forecasting, fuzzy logic, population, GDP, MAPE…”
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Multivariate Load Forecasting of Integrated Energy System Based on CEEMDAN-CSO-LSTM-MTL by WANG Yongli, LIU Zeqiang, DONG Huanran, LI Dexin, CHEN Xin, GUO Lu, WANG Jiarui

Subjects: “…load forecasting|integrated energy system|multiple load|lstm|mtl…”
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Load forecasting of microgrid based on an adaptive cuckoo search optimization improved neural network by Liping Fan, Pengju Yang

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Differentially Private Clustered Federated Load Prediction Based on the Louvain Algorithm by Tingzhe Pan, Jue Hou, Xin Jin, Chao Li, Xinlei Cai, Xiaodong Zhou

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Short-Term Power Load Prediction Method Based on VMD and EDE-BiLSTM by Yibo Lai, Qifeng Wang, Gang Chen, Yu Bai, Peiyu Zhao, Xiaojing Liao, Shuang Wu, Changyou Men, Quan Sun

Subjects: “…Short-term load forecasting…”
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Federated Learning-Based Load Forecasting for Energy Aggregation Service Providers by HUANG Yichuan, SONG Yuhui, JING Zhaoxia

Subjects: “…energy aggregation service provider|load forecasting|federated learning|data privacy|neural network…”
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An adaptive load forecasting model in microgrids: A cloud-edge orchestrated approach tailored for accuracy, real-time response, and privacy needs by Yan Zhao, Jiaqi Shi, Donglai Wang, He Jiang, Xiang Zhang

Subjects: “…Load forecasting…”
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A power load forecasting method using cosine similarity and a graph convolutional network by JI Shan, JIANG Wei, JING Xin

Subjects: “…multi-node power load forecasting…”
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Short-term load forecasting based on multi-frequency sequence feature analysis and multi-point modified FEDformer by Kaiyuan Hou, Xiaotian Zhang, Junjie Yang, Jiyun Hu, Guangzhi Yao, Jiannan Zhang

Subjects: “…short-term load forecasting…”
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An optimized method for short-term load forecasting based on feature fusion and ConvLSTM-3D neural network by Xiaofeng Yang, Shousheng Zhao, Kangyi Li, Wenjin Chen, Si Zhang, Jingwei Chen

Subjects: “…short-term load forecasting…”
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A deep reinforcement learning-based approach for cyber resilient demand response optimization by Ayush Sinha, Ranjana Vyas, Feras Alasali, William Holderbaum, O. P. Vyas

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Short-term residential load forecasting via transfer learning and multi-attention fusion for EVs’ coordinated charging by Shuhua Gao, Yuanbin Liu, Jing Wang, Zhengfang Wang, Xu Wenjun, Renfeng Yue, Ruipeng Cui, Yong Liu, Xuezhong Fan

Subjects: “…Day-ahead load forecasting…”
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Enhancing Smart Grids for Sustainable Energy Transition and Emission Reduction with Advanced Forecasting Techniques by Farah Rania, Farou Brahim, Kouahla Zineddine and Seridi Hamid

Subjects: “…smart grid, short-term load forecasting, carbon dioxide, electrical consumption, deep learning model, harmful energy…”
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