Title : Reinforcement learning approaches to power system scheduling

Type of Material: Thesis
Title: Reinforcement learning approaches to power system scheduling
Researcher: Jasmin E A
Guide: Jagathy Raj, V P
Department: School of Engineering
Publisher: Cochin University of Science and Technology
Place: Cochin
Year: 29/12/2008
Language: English
Subject: Power system
Reinforcement learning
Unit commitment
Economic dispatch
Automatic generation control
Dissertation/Thesis Note: PhD
Fulltext: Shodhganga

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035__|a(IN-AhILN)th_258986
040__|aCUST_682022|dIN-AhILN
041__|aeng
100__|aJasmin E A|eResearcher
110__|aSchool of Engineering|bCochin University of Science and Technology|dCochin
245__|aReinforcement learning approaches to power system scheduling
260__|aCochin|bCochin University of Science and Technology|c29/12/2008
502__|bPhD
518__|oDate of Notification|d2008-12-29
520__|aOne major component of power system operation is generation scheduling. The objective of the work is to develop efficient control strategies to the power scheduling problems through Reinforcement Learning approaches. The three important active power sch
653__|aPower system
653__|aReinforcement learning
653__|aUnit commitment
653__|aEconomic dispatch
653__|aAutomatic generation control
700__|aJagathy Raj, V P|eGuide
856__|uhttp://shodhganga.inflibnet.ac.in/handle/10603/4870|yShodhganga
905__|anotification

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