Solution to the unit commitment problem using an artificial neural network-Reference-Cited by-同舟云学术

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Solution to the unit commitment problem using an artificial neural network

Published:2013-01-01 Issue: Volume: Page:
ISSN:1303-6203
Container-title:Turkish Journal of Electrical Engineering and Computer Sciences
language:en
Short-container-title:Turkish Journal of Electrical Engineering and Computer Sciences

Author:

JAHROMI MEHDI ZAREIAN,BIOKI MOHAMMAD MEHDI HOSSEINI,NEJAD MASOUD RASHIDI,FADAEINEDJAD ROOHOLLAH

Publisher

The Scientific and Technological Research Council of Turkey (TUBITAK-ULAKBIM) - DIGITAL COMMONS JOURNALS

Subject

Electrical and Electronic Engineering,General Computer Science

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Study on hierarchical model of hydroelectric unit commitment based on similarity schedule and quadratic optimization approach;Energy;2024-10

2. Mitigating wind energy uncertainties and operational constraints in solving the unit commitment problem in power systems through enhanced arithmetic optimization techniques;Energy Reports;2024-06

3. Modified Arithmetic Algorithms for Optimal Power System Operation Considering Uncertainties From Intermittent Renewable Energy and Electric Vehicles;IEEE Access;2024

4. Comparison of Procedures to Combine Operating Zones of Multiple Units into Plant-Based Operating Zones;Energies;2023-02-01

5. A Review on the Unit Commitment Problem: Approaches, Techniques, and Resolution Methods;Energies;2022-02-10

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