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Load forecasting using genetic algorithms
The Institution of Engineers (India), Electrical Engineering Division (1995)
  • D. K. Chaturvedi, Dayalbagh Educational Institute
Genetic algorithms (GAs) are gaining popularity in many engineering and scientific applications due to their enormous advantages such as adaptability, ability to handle nonlinear, ill defined and probabilistic problems. In this paper a load forecasting problem on a long term basis is formulated in the framework 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 (30 refs.)
  • Genetic algorithms,
  • load forecasting,
  • Power systems,
  • Artificial Intelligence
Publication Date
November, 1995
Citation Information
D. K. Chaturvedi. "Load forecasting using genetic algorithms" The Institution of Engineers (India), Electrical Engineering Division Vol. 76 Iss. 1 (1995)
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