Uncertainty of the Short-Term Electrical Load Forecasting in Utilities

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Venue:
IJCNN '00 Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 6 - Volume 6
Year:
2000

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Cited 1

FUTURA: Hybrid System for Electric Load Forecasting by Using Case-Based Reasoning and Expert System

CCIA '02 Proceedings of the 5th Catalonian Conference on AI: Topics in Artificial Intelligence

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Abstract

This paper investigates the problem of the short-term electrical load forecasting (STLF) in medium size utility. The model consisted of ensemble of the neural predictors with special heuristic input selection procedure is presented. We discuss also the problem of uncertainties involved in load forecasts, and confidence intervals calculation methods for neural STLF predictors.