Comparative Analysis of Medium Term Load Forecasting using Genetic Algorithm and Particle Swarm Optimization

Shweta Chaturvedi, Prof. Ashish Tiwari


The forecasting of electrical energy provides the required information about future conditions of the network to the system engineers and helps to predict essential improving actions such as putting power plants at their maximum production, electricity purchasing, switching etc. It is essential for the booking of fuel supply and maintenance activities and making arrangements for utility power exchange. With the ongoing advancement of new numerical, mining and man-made reasoning devices, it is potentially feasible to enhance the result.

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