Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6732146 | Energy and Buildings | 2015 | 9 Pages |
Abstract
The aim of this paper is to create a method to forecast the electric load in a non-residential building. Another goal is to analyse what kind of data, as weather, indoor ambient, calendar and building occupancy, is the most relevant in building load forecasting. A simple method, tested with three different models, such as MLR, MLP and SVR, is proposed. The results, from a real case study in the University of Girona, show that the proposed forecast method has high accuracy and low computational cost.
Keywords
Related Topics
Physical Sciences and Engineering
Energy
Renewable Energy, Sustainability and the Environment
Authors
Joaquim Massana, Carles Pous, Llorenç Burgas, Joaquim Melendez, Joan Colomer,