Predicting future hourly residential electrical consumption: A machine learning case study
- 1 June 2012
- journal article
- Published by Elsevier BV in Energy and Buildings
- Vol. 49, 591-603
- https://doi.org/10.1016/j.enbuild.2012.03.010
Abstract
No abstract availableKeywords
This publication has 19 references indexed in Scilit:
- Forecasting building energy consumption using neural networks and hybrid neuro-fuzzy system: A comparative studyEnergy and Buildings, 2011
- LIBSVMACM Transactions on Intelligent Systems and Technology, 2011
- Contrasting the capabilities of building energy performance simulation programsJournal of Affective Disorders, 2006
- Modeling and predicting building's energy use with artificial neural networks: Methods and resultsEnergy and Buildings, 2006
- Learning to detect natural image boundaries using local brightness, color, and texture cuesIeee Transactions On Pattern Analysis and Machine Intelligence, 2004
- Weighted least squares support vector machines: robustness and sparse approximationNeurocomputing, 2002
- Real time intelligent sensor validationIEEE Transactions on Power Systems, 2001
- An overview of statistical learning theoryIEEE Transactions on Neural Networks, 1999
- Moore's law: past, present and futureIEEE Spectrum, 1997
- Hierarchical Mixtures of Experts and the EM AlgorithmNeural Computation, 1994