Smart Management of Energy Losses in Distribution Networks Using Deep Neural Networks

Smart Management of Energy Losses in Distribution Networks Using Deep Neural Networks

This research presents an advanced methodology for smart management of energy losses in electrical distribution networks by leveraging deep neural network architectures. The primary objective is to enhance the accuracy of short-term forecasting for nodal loads and corresponding energy losses, enabli...

Full description

Saved in:
Bibliographic Details
Main Authors: Ihor Blinov, Virginijus Radziukynas, Pavlo Shymaniuk, Artur Dyczko, Kinga Stecuła, Viktoriia Sychova, Volodymyr Miroshnyk, Roman Dychkovskyi
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Energies
Subjects:
energy loss forecasting
deep neural networks
data preprocessing
power system efficiency
artificial intelligence in energy
electrical grid optimization
Online Access:https://www.mdpi.com/1996-1073/18/12/3156
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/1996-1073/18/12/3156

Similar Items