Abstract
The cuckoo search is used for resolving various optimization problems and is one of the most effective nature-inspired algorithms. The Xintai power plant with back propagation neural network is used for short-term load forecasting. The backpropagation limitation is solved via the cuckoo search technique. The Gamma probability distribution function cuckoo search is utilized. The Gamma cuckoo search has a mean average percentage error of 0.02 %, while the Pareto cuckoo search has a mean average percentage error of 0.15%. These results are also representing the percentage of accuracy for load forecasting. This modified cuckoo search method produces good results in the expected load, which is essential.
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