Advanced machine learning tools based on energy management and economic performance analysis of a microgrid connected to the utility grid

Author:

Al‐Gabalawy Mostafa1ORCID

Affiliation:

1. Department of Digital Media Technology, Faculty of Computers and Information Technology Future University in Egypt New Cairo Egypt

Publisher

Wiley

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Reference45 articles.

1. Microgrids energy management systems: A critical review on methods, solutions, and prospects

2. Optimal multi‐criteria design of hybrid power generation systems: a new contribution;Mekhamer SF;Int J Comput Appl,2015

3. Hybrid power generation system: a holistic view;Mekhamer SF;Int Electr Eng J,2015

4. AlgabalawyMA AbdelazizAY MekhamerSF BadrMAL.Optimal multi‐criteria design of a new hybrid power generation system using ant lion and grey wolf optimizers. Paper presented at: 2016 Eighteenth International Middle East Power Systems Conference (MEPCON). pp.138–146.IEEE 2016.

5. Optimal design of a new configuration of the distributed generation units using Grey wolf and dragonfly optimizers;Algabalawy M;MASK Int J Sci Technol,2017

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