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...

Полное описание

Библиографические подробности
Опубликовано в::IEEE Transactions on power systems 16, 3 (2001).
Главный автор: Mori, H.
Формат: Статья
Язык:English
Предметы:
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.