Coupling a neural network temperature predictor and a fuzzy logic controller to perform thermal comfort regulation in an office building
- 1 February 2014
- journal article
- Published by Elsevier BV in Journal of Affective Disorders
- Vol. 72, 287-299
- https://doi.org/10.1016/j.buildenv.2013.10.020
Abstract
No abstract availableKeywords
This publication has 37 references indexed in Scilit:
- Using Recurrent Artificial Neural Networks to Forecast Household Electricity ConsumptionEnergy Procedia, 2012
- Identification of the building parameters that influence heating and cooling energy loads for apartment buildings in hot-humid climatesEnergy, 2011
- Short-term prediction of household electricity consumption: Assessing weather sensitivity in a Mediterranean areaRenewable and Sustainable Energy Reviews, 2008
- A neural network evaluation model for individual thermal comfortEnergy and Buildings, 2007
- Forecasting daily urban electric load profiles using artificial neural networksEnergy Conversion and Management, 2004
- International standards for the indoor environmentIndoor Air, 2004
- Indoor Air Quality and Human Health: Truth vs Mass HysteriaClinical Reviews in Allergy & Immunology, 2004
- Extension of the PMV model to non-air-conditioned buildings in warm climatesEnergy and Buildings, 2002
- Advanced fuzzy logic controllers design and evaluation for buildings’ occupants thermal–visual comfort and indoor air quality satisfactionEnergy and Buildings, 2001
- The sick building syndrome: a diagnostic dilemmaSocial Science & Medicine, 1998