Deterministic annealing clustering for ANN-based short-term load forecasting.

Deterministic annealing clustering for ANN-based short-term load forecasting.

This paper presents a clustering method for preprocessing input data of short-term load forecasting in power systems. Clustering the input data prior to forecasting with the artificial neural network (ANN) decreases the prediction errors observed. In this paper, an MLP ANN is used to deal with one-s...

全面介紹

書目詳細資料
發表在:IEEE Transactions on power systems 16, 3 (2001).
主要作者: Mori, H.
格式: Article
語言:English
主題:
ANN-based short-term load forecasting.
Artificial neural networks.
Clustering method.
Deterministic annealing clustering.
Globally optimal classification.
Input data classification.
Input data preprocessing.
Maximum entropy.
Maximum prediction errors.
One-step ahead daily maximum load forecasting.
Power systems.
Prediction errors decrease.
Real load data.
Short-term forecasted values.
Statistical mechanics.