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Article
Load Forecasting Using Genetic Algorithms
J. of The Institution of Engineers (India), EL (1995)
  • D. K. Chaturvedi, Dayalbagh Educational Institute
  • R. K. Mishra, Dayalbagh Educational Institute
  • A. Agarwal, Dayalbagh Educational Institute
Abstract
Genetic Algorithms (GAs) are gaining popularity in many engineering and scientific applications due to their enormous advantages such as adaptibility, ability to handle non-linear, ill defined and probabilistic problems. In this paper load forecasting problem on long term basis is formulated in the frame work of Genetic Algorithms. The results of GAs are compared with the central Electricity Authority (CEA) forecasted data to demonstrate the effectiveness of the proposed algorithms.
Keywords
  • Genetic Algorithms,
  • Load forecasting,
  • Power Systems,
  • Evolutionary algorithms
Publication Date
November, 1995
Citation Information
D. K. Chaturvedi, R. K. Mishra and A. Agarwal. "Load Forecasting Using Genetic Algorithms" J. of The Institution of Engineers (India), EL Vol. 76 Iss. 3 (1995)
Available at: http://works.bepress.com/dk_chaturvedi/24/