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