Development and validation of regression models to predict monthly heating demand for residential buildings
Top Cited Papers
- 31 December 2008
- journal article
- Published by Elsevier BV in Energy and Buildings
- Vol. 40 (10), 1825-1832
- https://doi.org/10.1016/j.enbuild.2008.04.001
Abstract
No abstract availableKeywords
This publication has 17 references indexed in Scilit:
- Simplified energy prediction method accounting for part-load performance of chillerJournal of Affective Disorders, 2007
- Prediction of building's temperature using neural networks modelsEnergy and Buildings, 2005
- On-line building energy prediction using adaptive artificial neural networksEnergy and Buildings, 2005
- Applying support vector machines to predict building energy consumption in tropical regionEnergy and Buildings, 2005
- Modeling of the space and domestic hot-water heating energy-consumption in the residential sector using neural networksApplied Energy, 2004
- Thermal modelling of a building with an integrated ventilated PV façadeEnergy and Buildings, 2003
- Modeling of the appliance, lighting, and space-cooling energy consumptions in the residential sector using neural networksApplied Energy, 2002
- Design of buildings shape and energetic consumptionJournal of Affective Disorders, 2001
- Modeling Hourly Energy Use in Commercial Buildings With Fourier Series Functional FormsJournal of Solar Energy Engineering, 1998
- Building Energy Use Prediction and System Identification Using Recurrent Neural NetworksJournal of Solar Energy Engineering, 1995