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Load Forecasting Using Genetic Algorithms, D. K. Chaturvedi, R. K. Mishra, A. Agarwal

D. K. Chaturvedi Dr.

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.