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Open AccessProceedings Article

A hybrid neural network model for daily peak load forecasting using a novel clustering approach.

M. R. Amin-Naseri, +1 more
- pp 104-109
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This article is published in Soft Computing.The article was published on 2006-01-01 and is currently open access. It has received 2 citations till now. The article focuses on the topics: Hybrid neural network & Probabilistic neural network.

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Journal ArticleDOI

Functional clustering and linear regression for peak load forecasting

TL;DR: This paper takes advantage of the functional nature of the data-set and proposes a forecasting methodology based on functional statistics, using a functional clustering procedure to classify the daily load curves and defines a family of functional linear regression models.
Journal ArticleDOI

Combined use of unsupervised and supervised learning for daily peak load forecasting

TL;DR: The results indicated that the PHM produces considerably better forecasts than those of LR models, and the suggested clustering approach significantly improves the forecasting results on regression analysis too.