Predicting hourly cooling load in the building: A comparison of support vector machine and different artificial neural networks
- 31 January 2009
- journal article
- Published by Elsevier BV in Energy Conversion and Management
- Vol. 50 (1), 90-96
- https://doi.org/10.1016/j.enconman.2008.08.033
Abstract
No abstract availableKeywords
This publication has 16 references indexed in Scilit:
- Cooling load calculations in subtropical climateJournal of Affective Disorders, 2007
- Cooling energy evaluation for high-rise residential buildings in Hong KongEnergy and Buildings, 2005
- A Simple Approach for Building Cooling Load EstimationAmerican Journal of Environmental Sciences, 2005
- Hourly cooling load prediction by a combined forecasting model based on Analytic Hierarchy ProcessInternational Journal of Thermal Sciences, 2004
- Artificial neural networks in renewable energy systems applications: a reviewRenewable and Sustainable Energy Reviews, 2001
- A simplified correlation method accounting for heating and cooling loads in energy-efficient buildingsEnergy and Buildings, 1998
- Utilizing transfer function method for hourly cooling load calculationsEnergy Conversion and Management, 1997
- LARGE BUILDING COOLING LOAD AND ENERGY USE ESTIMATIONInternational Journal of Energy Research, 1997
- Monthly-Averaged Cooling Load Calculations—Residential and Small Commercial BuildingsJournal of Solar Energy Engineering, 1987
- A comparison of the admittance and Fourier methods for predicting heating/cooling loadsSolar Energy, 1986