FCM Clustering‐ANFIS‐based PV and wind generation forecasting agent for energy management in a smart microgrid-Reference-Cited by-同舟云学术

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FCM Clustering‐ANFIS‐based PV and wind generation forecasting agent for energy management in a smart microgrid

Published:2019-06-04 Issue:18 Volume:2019 Page:4852-4857
ISSN:2051-3305
Container-title:The Journal of Engineering
language:en
Short-container-title:J. eng.

Author:

Sujil A¹²,Kumar Rajesh¹,Bansal Ramesh C³

Affiliation:

1. Department of Electrical EngineeringMalaviya National Institute of TechnologyJaipurIndia

2. School of Electrical SkillsBhartiya Skill Development UniversityJaipurIndia

3. Department of Electrical & Computer EngineeringCollege of EngineeringUniversity of SharjahSharjahUAE

Publisher

Institution of Engineering and Technology (IET)

Subject

General Engineering,Energy Engineering and Power Technology,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/joe.2018.9323

Reference32 articles.

1. A multi‐agent decentralized energy management system based on distributed intelligence for the design and control of autonomous polygeneration microgrids;Karavas C.S.;Energy Convers. Manage.,2015

2. Mas‐based solution to energy management strategy of distributed generation system;Dou C.;Int. J. Electr. Power Energy Syst.,2015

3. A multi‐agent system for energy management of distributed power sources;Lagorse J.;Renew. Energy,2010

4. Multi‐agent based distributed control architecture for microgrid energy management and optimization;Khan M.R.B.;Energy Convers. Manage.,2016

5. Regional pv power prediction for improved grid integration;Lorenz E.;Prog. Photovolt., Res. Appl.,2011

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