DocumentCode :
150999
Title :
Design of strategic information in the deregulated Indian power market: An agent-based approach
Author :
Mohan, V. ; Madhu, Nilesh ; Ongsakul, Weerakorn ; Singh, Jai Govind ; Reshma Suresh, M.P.
Author_Institution :
Sch. of Environ., Resources & Dev., Asian Inst. of Technol., Pathumthani, Thailand
fYear :
2014
fDate :
19-21 March 2014
Firstpage :
1
Lastpage :
5
Abstract :
This paper primarily focuses on formulating an agent based model covering the financial and transactional aspects of deregulated Indian power markets which goes in hand with the legal system of the regulator. It proposes an information system which helps the agents of a power market to take decisions in making better bids and participate in the day ahead markets. A price forecasting engine based on ANN, whose input is adapted using Rough set theory is implemented for Genco and Distco.
Keywords :
power markets; rough set theory; day ahead markets; deregulated power market; price forecasting engine; rough set theory; strategic information; Artificial neural networks; Electricity; Fuels; Generators; Heating; Power markets; Set theory; Agents; MCP; bid matching; rough set theory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Green Energy for Sustainable Development (ICUE), 2014 International Conference and Utility Exhibition on
Conference_Location :
Pattaya
Print_ISBN :
978-1-4799-2628-2
Type :
conf
Filename :
6828983
Link To Document :
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