Long term distribution demand forecasting using neuro fuzzy computations
This article describes the application and validation of forecasting results of a hybrid fuzzy neural technique which combines neural network and fuzzy logic modelling for long term land use based distribution load forecasting. The strength of this technique lies in its ability to reduce appreciable computational time and its comparable accuracy with other modelling techniques. The use of fuzzy logic effectively handles the load distribution in a small area with future demand of consumer class. The fuzzy neural network was extensively tested on actual data obtained from a small power distribution system. Impressive results with a low error was obtained for the global model and load model. Radial basis function network was used for both global and load modelling and this approach avoids complex mathematical calculations and is simple to implement on a personal computer. The heuristic approach used for spatial modelling is replaced by fuzzy system.
fuzzy logic land use based load forecasting artificial neural networks