Day-Ahead Load Demand Forecasting in Urban Community Cluster Microgrids Using Machine Learning Methods

Day-Ahead Load Demand Forecasting in Urban Community Cluster Microgrids Using Machine Learning Methods

<p dir="ltr">The modern-day urban energy sector possesses the integrated operation of various microgrids located in a vicinity, named cluster microgrids, which helps to reduce the utility grid burden. However, these cluster microgrids require a precise electric load projection to man...

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Bibliographic Details
Main Author: Sivakavi Naga Venkata Bramareswara Rao (15944992) (author)
Other Authors: Venkata Pavan Kumar Yellapragada (15944994) (author), Kottala Padma (15944997) (author), Darsy John Pradeep (15945001) (author), Challa Pradeep Reddy (15945003) (author), Mohammad Amir (12418899) (author), Shady S. Refaat (15945006) (author)
Published: 2022
Subjects:
Engineering
Electrical engineering
Electronics, sensors and digital hardware
Information and computing sciences
Machine learning
ANN training algorithms
cluster microgrids
load demand forecasting
machine learning methods
urban energy community
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