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Dual-model approach for concurrent forecasting of electricity prices and loads in smart grids: Comparison of sparse encoder NAR and GA-optimized LSTM.

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第一作者： Nasir,Nauman

第一单位： Faculty of Computer Science & Information Technology, The Superior University, Lahore, Pakistan.;Intelligent Data Visual Computing Research (IDVCR), Lahore, Pakistan.;Department of Technology, University of Lahore, Lahore, Pakistan.

作者： Nasir,Nauman ^[1] ; Sheeraz,Akram ^[2] ; Muhammad,Rashid ^[3] ; Arfan,Jaffar ^[4] ; Sohail Masood,Bhatti ^[4] ; Benish,Fida ^[3]

作者单位： Faculty of Computer Science & Information Technology, The Superior University, Lahore, Pakistan.;Intelligent Data Visual Computing Research (IDVCR), Lahore, Pakistan.;Department of Technology, University of Lahore, Lahore, Pakistan. ^[1] Faculty of Computer Science & Information Technology, The Superior University, Lahore, Pakistan.;Intelligent Data Visual Computing Research (IDVCR), Lahore, Pakistan.;Information Systems Department, College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia. ^[2] Department of Computer Science, National University of Technology, Islamabad, Pakistan. ^[3] Faculty of Computer Science & Information Technology, The Superior University, Lahore, Pakistan.;Intelligent Data Visual Computing Research (IDVCR), Lahore, Pakistan. ^[4]

医学主题词预测(Forecasting);商业(Commerce);电学(Electricity);算法(Algorithms);贝叶斯定理(Bayes Theorem)

DOI 10.1371/journal.pone.0330024

PMID 40966270

发布时间 2025-09-18

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