Global Energy Interconnection2025，Vol.8Issue(6)：P.1010-1029,20.DOI:10.1016/j.gloei.2025.07.005
TLCNN:Tabular data-based lightweight convolutional neural network for electricity energy demand prediction
Nazmul Huda Badhon 1Imrus Salehin 2Md Tomal Ahmed Sajib 1Md Sakibul Hassan Rifat 3S.M.Noman 4Nazmun Nessa Moon1
作者信息
- 1. Department of Computer Science and Engineering,Daffodil International University,Birulia,Savar,Dhaka 1216,Bangladesh
- 2. Department of Computer Science and Engineering,Daffodil International University,Birulia,Savar,Dhaka 1216,Bangladesh Department of Information Convergence Engineering,Pusan National University,Geumjeong-gu,Busan 46241,the Republic of Korea
- 3. Department of Computer Science and Engineering,Bangladesh University of Business and Technology,Mirpur-2,Dhaka 1216,Bangladesh
- 4. Faculty of Computer Science and Engineering,Frankfurt University of Applied Sciences,Frankfurt 60318,Germany Department of Electrical and Electronics Engineering,Daffodil International University,Birulia,Savar,Dhaka 1216,Bangladesh
- 折叠
摘要
关键词
CNN/Tabular data/Energy/Deep learning/Electricity分类
信息技术与安全科学引用本文复制引用
Nazmul Huda Badhon,Imrus Salehin,Md Tomal Ahmed Sajib,Md Sakibul Hassan Rifat,S.M.Noman,Nazmun Nessa Moon..TLCNN:Tabular data-based lightweight convolutional neural network for electricity energy demand prediction[J].Global Energy Interconnection,2025,8(6):P.1010-1029,20.
