Clustering Techniques Selection for a Hybrid Regression Model: A Case Study Based on a Solar Thermal System

This work addresses the performance comparison between four clustering techniques with the objective of achieving strong hybrid models in supervised learning tasks. A real dataset from a bio-climatic house named Sotavento placed on experimental wind farm and located in Xermade (Lugo) in Galicia (Spain) has been collected. Authors have chosen the thermal solar generation system in order to study how works applying several cluster methods followed by a regression technique to predict the output temperature of the system. With the …

bio case case study clustering comparison cs.lg cs.ma dataset experimental hybrid performance regression solar study supervised learning tasks wind work