Data-Mining-based filtering to support Solar Forecasting Methodologies

This paper proposes an hybrid approach for short term solar intensity forecasting, which combines different forecasting methodologies with a clustering algorithm, which plays the role of data filter, in order to support the selection of the best data for training. A set of methodologies based on Art...

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Bibliographic Details
Main Author: Pinto, Tiago (author)
Other Authors: Marques, Luis (author), Sousa, Tiago M (author), Praça, Isabel (author), Vale, Zita (author), Abreu, Samuel L (author)
Format: article
Language:eng
Published: 2021
Subjects:
Artificial Neural Network
Clustering
Data Mining
Machine Learning
Solar Forecasting
Support Vector Machine
Online Access:http://hdl.handle.net/10400.22/18474
Country:Portugal
Oai:oai:recipp.ipp.pt:10400.22/18474

Internet

http://hdl.handle.net/10400.22/18474

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