Data-Mining-based filtering to support Solar Forecasting Methodologies

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...

Full description

Bibliographic Details
Main Authors: Tiago PINTO, Luis MARQUES, Tiago M SOUSA, Isabel PRAÇA, Zita VALE, Samuel L ABREU
Format: Article
Language:English
Published: Ediciones Universidad de Salamanca 2017-11-01
Series:Advances in Distributed Computing and Artificial Intelligence Journal
Subjects:
artificial neural network
clustering, data mining
machine learning
solar forecasting
support vector machine
Online Access:https://revistas.usal.es/index.php/2255-2863/article/view/17015

Similar Items

Similar Items