Energies 2013, 6(4), 2110-2129; doi:10.3390/en6042110
Article

Assessing Tolerance-Based Robust Short-Term Load Forecasting in Buildings

1 DeustoTech-Deusto Technology Foundation, Energy Unit, University of Deusto, Avenida de las Universidades 24, Bilbao 48007, Basque Country, Spain 2 Indra, Smart Energy Department, Optimisation and Prevision Area, Parque empresarial Arroyo de la Vega, edificio Violeta 2, Avenida de Bruselas 35, Alcobendas, Madrid 28108, Spain
* Author to whom correspondence should be addressed.
Received: 18 January 2013; in revised form: 12 March 2013 / Accepted: 18 March 2013 / Published: 17 April 2013
(This article belongs to the Special Issue Hybrid Advanced Techniques for Forecasting in Energy Sector)
PDF Full-text Download PDF Full-Text [357 KB, uploaded 17 April 2013 16:02 CEST]
Abstract: Short-term load forecasting (STLF) in buildings differs from its broader counterpart in that the load to be predicted does not seem to be stationary, seasonal and regular but, on the contrary, it may be subject to sudden changes and variations on its consumption behaviour. Classical STLF methods do not react fast enough to these perturbations (i.e., they are not robust) and the literature on building STLF has not yet explored this area. Hereby, we evaluate a well-known post-processing method (Learning Window Reinitialization) applied to two broadly-used STLF algorithms (Autoregressive Model and Support Vector Machines) in buildings to check their adaptability and robustness. We have tested the proposed method with real-world data and our results state that this methodology is especially suited for buildings with non-regular consumption profiles, as classical STLF methods are enough to model regular-profiled ones.
Keywords: short term load forecasting; artificial intelligence; statistical methods

Article Statistics

Load and display the download statistics.

Citations to this Article

Cite This Article

MDPI and ACS Style

Borges, C.E.; Penya, Y.K.; Fernández, I.; Prieto, J.; Bretos, O. Assessing Tolerance-Based Robust Short-Term Load Forecasting in Buildings. Energies 2013, 6, 2110-2129.

AMA Style

Borges CE, Penya YK, Fernández I, Prieto J, Bretos O. Assessing Tolerance-Based Robust Short-Term Load Forecasting in Buildings. Energies. 2013; 6(4):2110-2129.

Chicago/Turabian Style

Borges, Cruz E.; Penya, Yoseba K.; Fernández, Iván; Prieto, Juan; Bretos, Oscar. 2013. "Assessing Tolerance-Based Robust Short-Term Load Forecasting in Buildings." Energies 6, no. 4: 2110-2129.

Energies EISSN 1996-1073 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert