Reinforcement learning for energy conservation and comfort in buildings
- 31 July 2007
- journal article
- Published by Elsevier BV in Journal of Affective Disorders
- Vol. 42 (7), 2686-2698
- https://doi.org/10.1016/j.buildenv.2006.07.010
Abstract
No abstract availableThis publication has 12 references indexed in Scilit:
- Modeling and predicting building's energy use with artificial neural networks: Methods and resultsEnergy and Buildings, 2006
- Energy conservation in buildings through efficient A/C control using neural networksApplied Energy, 2002
- Capabilities and limitations of thermal models for use in thermal comfort standardsEnergy and Buildings, 2002
- The validity of ISO-PMV for predicting comfort votes in every-day thermal environmentsEnergy and Buildings, 2002
- Adaptive thermal comfort and sustainable thermal standards for buildingsEnergy and Buildings, 2002
- Introduction to thermal comfort standards and to the proposed new version of EN ISO 7730Energy and Buildings, 2002
- Advanced fuzzy logic controllers design and evaluation for buildings’ occupants thermal–visual comfort and indoor air quality satisfactionEnergy and Buildings, 2001
- Design of a fuzzy system for living space thermal-comfort regulationApplied Energy, 2001
- NEUROBAT, A PREDICTIVE AND ADAPTIVE HEATING CONTROL SYSTEM USING ARTIFICIAL NEURAL NETWORKSInternational Journal of Solar Energy, 2001
- Thermal-comfort degradation by a visual comfort fuzzy-reasoning machine under natural ventilationApplied Energy, 1994