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Original paper

Modal decomposition based ensemble learning for ground source heat pump systems load forecasting

Volume: 194, Pages: 62 - 74
Published: Apr 15, 2019
Abstract
This study presents a case study of office buildings using modal decomposition based ensemble learning method to forecast energy consumption of ground source heat pump systems (GSHP). Conventional machine learning methods have uncertainty in practical application as there are lots of stochastic terms in the structure of the algorithm. Therefore, ensemble learning models are proposed to ameliorate the problem. In this paper, the prediction...
Paper Details
Title
Modal decomposition based ensemble learning for ground source heat pump systems load forecasting
Published Date
Apr 15, 2019
Volume
194
Pages
62 - 74
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