Overhead transmission lines dynamic rating estimation for renewable energy integration using machine learning-Reference-Cited by-同舟云学术

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Overhead transmission lines dynamic rating estimation for renewable energy integration using machine learning

Published:2021-11 Issue: Volume:7 Page:804-813
ISSN:2352-4847
Container-title:Energy Reports
language:en
Short-container-title:Energy Reports

Author:

Sobhy Abdelrahman,Megahed Tamer F.^ORCID,Abo-Zahhad Mohammed

Publisher

Elsevier BV

Subject

General Energy

Reference17 articles.

1. Coordinated operation of reconfigurable networks with dynamic line rating for optimal utilization of renewable generation;Numan;Int J Electr Power Energy Syst,2021

2. Research and application of dynamic line rating technology;Hou;Energy Rep,2020

3. Optimal scheduling of reconfigurable grids considering dynamic line rating constraint;Mohamed;IET Gen Transm Distrib,2020

4. Allocation of FACTS devices using a probabilistic multi-objective approach incorporating various sources of uncertainty and dynamic line rating;El-Azab;IEEE Access,2020

5. Dynamic thermal rating of transmission lines: A review;Soheila;Renew Sustain Energy Rev,2018

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1. Dynamic prediction of overhead transmission line ampacity based on the BP neural network using Bayesian optimization;Frontiers in Energy Research;2024-09-03

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3. A machine learning approach for optimizing the water-energy-food-ecosystem nexus: a resilience perspective for sustainability;Environment, Development and Sustainability;2023-12-11

4. Dynamic thermal line rating model of conductor based on prediction of meteorological parameters;Electric Power Systems Research;2023-11

5. Smart grid infrastructure and renewable energy deployment: A conceptual review of Saudi Arabia;Energy Strategy Reviews;2023-11

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