Development of a Metamodel to Predict Cooling Energy Consumption of HVAC Systems in Office Buildings in Different Climates
Published 2018 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Development of a Metamodel to Predict Cooling Energy Consumption of HVAC Systems in Office Buildings in Different Climates
Authors
Keywords
-
Journal
Sustainability
Volume 10, Issue 12, Pages 4718
Publisher
MDPI AG
Online
2018-12-12
DOI
10.3390/su10124718
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Optimal control of HVAC and window systems for natural ventilation through reinforcement learning
- (2018) Yujiao Chen et al. ENERGY AND BUILDINGS
- Occupant behavior models: A critical review of implementation and representation approaches in building performance simulation programs
- (2017) Tianzhen Hong et al. Building Simulation
- Artificial Neural Network for Assessment of Energy Consumption and Cost for Cross Laminated Timber Office Building in Severe Cold Regions
- (2017) Qi Dong et al. Sustainability
- A novel surrogate model to support building energy labelling system: A new approach to assess cooling energy demand in commercial buildings
- (2016) A.P. Melo et al. ENERGY AND BUILDINGS
- Prediction of cooling energy use in buildings using an enthalpy-based cooling degree days method in a hot and humid climate
- (2016) Minjae Shin et al. ENERGY AND BUILDINGS
- Advances in research and applications of energy-related occupant behavior in buildings
- (2016) Tianzhen Hong et al. ENERGY AND BUILDINGS
- Issues of Application of Machine Learning Models for Virtual and Real-Life Buildings
- (2016) Young Kim et al. Sustainability
- Occupant behavior modeling for building performance simulation: Current state and future challenges
- (2015) Da Yan et al. ENERGY AND BUILDINGS
- Modeling heating and cooling loads by artificial intelligence for energy-efficient building design
- (2014) Jui-Sheng Chou et al. ENERGY AND BUILDINGS
- Developing energy consumption benchmarks for buildings: Bank branches in Brazil
- (2014) Edward H. Borgstein et al. ENERGY AND BUILDINGS
- Review of building energy modeling for control and operation
- (2014) Xiwang Li et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- UK office buildings archetypal model as methodological approach in development of regression models for predicting building energy consumption from heating and cooling demands
- (2013) Ivan Korolija et al. ENERGY AND BUILDINGS
- State of the art in building modelling and energy performances prediction: A review
- (2013) Aurélie Foucquier et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- A review of sensitivity analysis methods in building energy analysis
- (2013) Wei Tian RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- A review on the basics of building energy estimation
- (2013) Nelson Fumo RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Achieving better energy-efficient air conditioning – A review of technologies and strategies
- (2012) K.J. Chua et al. APPLIED ENERGY
- A review on the prediction of building energy consumption
- (2012) Hai-xiang Zhao et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Incorporation of latent loads into the cooling degree days concept
- (2011) Gorazd Krese et al. ENERGY AND BUILDINGS
- A review of HVAC systems requirements in building energy regulations
- (2010) Luis Pérez-Lombard et al. ENERGY AND BUILDINGS
- Development of envelope efficiency labels for commercial buildings: Effect of different variables on electricity consumption
- (2008) Joyce Carlo et al. ENERGY AND BUILDINGS
- Development of regression equations for predicting energy and hygrothermal performance of buildings
- (2007) Roberto Z. Freire et al. ENERGY AND BUILDINGS
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search