Optimal Scheduling of Neural Network-Based Estimated Renewable Energy Nanogrid

Optimal Scheduling of Neural Network-Based Estimated Renewable Energy Nanogrid

In developing countries, many areas are deprived of electrical energy. Access to cleaner, more affordable energy is critical for improving the poor’s living conditions in developing countries. With the advent of smart grid technology, the integration and coordination of small grids, known as nanogri...

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Bibliographic Details
Main Authors: Asad Ali, Muhammad Salman Fakhar, Syed Abdul Rahman Kashif, Ghulam Abbas, Irfan Ahmad Khan, Akhtar Rasool, Nasim Ullah
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Energies
Subjects:
renewable energy resources
neural networks
optimization techniques
wind energy conversion system
forecasting
nanogrid
Online Access:https://www.mdpi.com/1996-1073/15/23/8933

Internet

https://www.mdpi.com/1996-1073/15/23/8933

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