Deep learning enabled predictive model for p2p energy trading in tem

被引：0

作者：

Sekhar, Pudi ^{[1
]}

Benedict Jose, T.J. ^{[2
]}

Parvathy, Velmurugan Subbiah ^{[3
]}

Laxmi Lydia, E. ^{[4
]}

Kadry, Seifedine ^{[5
]}

Pin, Kuntha ^{[6
]}

Nam, Yunyoung ^{[7
]}

机构：

[1] Department of Electrical and Electronics Engineering, Vignan's Institute of Information Technology (Autonomous), Visakhapatnam,530049, India

[2] Department of Computer Applications, Government Arts and Science College, Kanyakumari,629401, India

[3] Department of Electronics and Communication Engineering, Kalasalingam Academy of Research and Education, Krishnankoil,626126, India

[4] Department of Computer Science and Engineering, Vignan's Institute of Information Technology (Autonomous), Visakhapatnam,530049, India

[5] Department of Applied Data Science, Noroff University College, Kristiansand, Norway

[6] Department of ICT Convergence, Soonchunhyang University, Korea, Republic of

[7] Department of Computer Science and Engineering, Soonchunhyang University, Korea, Republic of

来源：

Computers, Materials and Continua | 2022年 / 71卷 / 01期

关键词：

Compendex;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Forecasting

引用

页码：1473 / 1487

共 33 条

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