Deep reinforcement learning optimization framework for a power generation plant considering performance and environmental issues-Reference-Cited by-同舟云学术

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Deep reinforcement learning optimization framework for a power generation plant considering performance and environmental issues

Published:2021-04 Issue: Volume:291 Page:125915
ISSN:0959-6526
Container-title:Journal of Cleaner Production
language:en
Short-container-title:Journal of Cleaner Production

Author:

Adams Derrick,Oh Dong-Hoon,Kim Dong-Won,Lee Chang-Ha,Oh Min

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Strategy and Management,General Environmental Science,Renewable Energy, Sustainability and the Environment

Reference52 articles.

1. Prediction of SOx–NOx emission from a coal-fired CFB power plant with machine learning: plant data learned by deep neural network and least square support vector machine;Adams;J. Clean. Prod.,2020

2. ThermalNet: a deep reinforcement learning-based combustion optimization system for coal-fired boiler;Cheng;Eng. Appl. Artif. Intell.,2018

3. Replacing coal-fired power plants by photovoltaics in the Portuguese electricity system;Figueiredo;J. Clean. Prod.,2019

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