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What is Short-Term Load Forecasting with ANN about?

This paper presents a method for short-term electricity load forecasting using Artificial Neural Networks (ANNs), which offer improved accuracy over traditional econometric approaches by addressing nonlinear and non-stationary relationships between load demand and influencing factors. The proposed single-layer ANN model incorporates key input variables such as hour and day indicators, as well as weather-related inputs, to optimize power system operations. The findings highlight the adaptability and learning

Author

Shivam Koli

Language

EN