Modified neural and neuro-fuzzy approach for short term load forecasting

In this paper, a modified neural and neuro-fuzzy models have been developed for short-term load forecast using 33/11kV substation data. The substation load is recorded hourly and then neural networks / neuro-fuzy models have been tunned with preprocessed data. In the test case for implementation in short term load forecasting for 33/11 kv Substation of Dayalbagh Educational Institute, Agra was explored. The results have been compared with actual load and forecasted data using different approaches.