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...
Saved in:
| 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: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Recurring Multi-layer Moving Window Approach to Forecast Day-ahead and Week-ahead Load Demand Considering Weather Conditions
by: Dao H. Vu (19517236)
Published: (2022) -
Using Machine Learning Models for Inpatient Bed Demand Forecasting in the UAE Hospitals
by: Sheiko, Rahaf Abdulla
Published: (2024) -
Fault detection and classification in hybrid energy-based multi-area grid-connected microgrid clusters using discrete wavelet transform with deep neural networks
by: S. N. V. Bramareswara Rao (21768302)
Published: (2024) -
Data-Driven Electricity Demand Modeling for Electric Vehicles Using Machine Learning
by: Far, Reza Davoodi
Published: (2024) -
Deep Learning-Based Short-Term Load Forecasting Approach in Smart Grid With Clustering and Consumption Pattern Recognition
by: Dabeeruddin Syed (16864260)
Published: (2021)