In recent years, Artificial Intelligence (AI) in general and Machine Learning (ML) techniques in specific terms have been proposed for forecasting of building energy consumption and performance. This chapter provides a substantial review on the four main ML approaches including artificial neural network, support vector machine, Gaussian-based regressions and clustering, which have commonly been applied in forecasting and improving building energy performance.
|Title of host publication||Data-Driven Modelling of Non-Domestic Buildings Energy Performance|
|Publisher||Springer Science and Business Media Deutschland GmbH|
|Number of pages||36|
|Publication status||Published - 16 Jan 2021|
|Name||Green Energy and Technology|
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