Artificial Neural Network for the Thermal Comfort Index Prediction: Development of a New Simplified Algorithm
出版年份 2020 全文链接
标题
Artificial Neural Network for the Thermal Comfort Index Prediction: Development of a New Simplified Algorithm
作者
关键词
-
出版物
Energies
Volume 13, Issue 17, Pages 4500
出版商
MDPI AG
发表日期
2020-09-01
DOI
10.3390/en13174500
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- An Intelligent Model to Predict Energy Performances of Residential Buildings Based on Deep Neural Networks
- (2020) Azadeh Sadeghi et al. Energies
- Mean Age of Air in Natural Ventilated Buildings: Experimental Evaluation and CO2 Prediction by Artificial Neural Networks
- (2020) Cinzia Buratti et al. Applied Sciences-Basel
- Exploring the Potentials of Artificial Neural Network Trained with Differential Evolution for Estimating Global Solar Radiation
- (2020) Olubayo M. Babatunde et al. Energies
- A Comparative Analysis of Machine Learning Approaches for Short-/Long-Term Electricity Load Forecasting in Cyprus
- (2020) Davut Solyali Sustainability
- Ultra-Short-Term Photovoltaic Power Prediction Model Based on the Localized Emotion Reconstruction Emotional Neural Network
- (2020) Yufei Wang et al. Energies
- Sustainable Smart City Building Construction Methods
- (2020) Haoran Zhuang et al. Sustainability
- Thermal comfort prediction in a building category: Artificial neural network generation from calibrated models for a social housing stock in southern Europe
- (2019) Rocío Escandón et al. APPLIED THERMAL ENGINEERING
- A feedforward neural network based indoor-climate control framework for thermal comfort and energy saving in buildings
- (2019) Tanaya Chaudhuri et al. APPLIED ENERGY
- Artificial Neural Network Control of Battery Energy Storage System to Damp-Out Inter-Area Oscillations in Power Systems
- (2019) Heung-Jae Lee et al. Energies
- Occupancy-based zone-level VAV system control implications of thermal comfort, ventilation, indoor air quality and building energy efficiency
- (2019) Prashant Anand et al. ENERGY AND BUILDINGS
- Energy saving estimation for plug and lighting load using occupancy analysis
- (2019) Prashant Anand et al. RENEWABLE ENERGY
- Artificial neural network models using thermal sensations and occupants’ behavior for predicting thermal comfort
- (2018) Zhipeng Deng et al. ENERGY AND BUILDINGS
- An LM-BP Neural Network Approach to Estimate Monthly-Mean Daily Global Solar Radiation Using MODIS Atmospheric Products
- (2018) Jiaojiao Feng et al. Energies
- Development of a Metamodel to Predict Cooling Energy Consumption of HVAC Systems in Office Buildings in Different Climates
- (2018) Mauricio Lopes et al. Sustainability
- The Impact of the Thermal Comfort Models on the Prediction of Building Energy Consumption
- (2018) Aiman Albatayneh et al. Sustainability
- Advanced Wind Speed Prediction Model Based on a Combination of Weibull Distribution and an Artificial Neural Network
- (2017) Athraa Ali Kadhem et al. Energies
- Application of a new 13-value thermal comfort scale to moderate environments
- (2016) C. Buratti et al. APPLIED ENERGY
- Prediction Performance of an Artificial Neural Network Model for the Amount of Cooling Energy Consumption in Hotel Rooms
- (2015) Jin Moon et al. Energies
- A Physical Hybrid Artificial Neural Network for Short Term Forecasting of PV Plant Power Output
- (2015) Alberto Dolara et al. Energies
- An original tool for checking energy performance and certification of buildings by means of Artificial Neural Networks
- (2014) C. Buratti et al. APPLIED ENERGY
- Adaptive model of thermal comfort for offices in hot and humid climates of India
- (2014) Madhavi Indraganti et al. BUILDING AND ENVIRONMENT
- Indoor thermal condition in urban heat island: Comparison of the artificial neural network and regression methods prediction
- (2014) Arya Ashtiani et al. ENERGY AND BUILDINGS
- Utilizing artificial neural network to predict energy consumption and thermal comfort level: An indoor swimming pool case study
- (2014) Baris Yuce et al. ENERGY AND BUILDINGS
- Individual and district heating: A comparison of residential heating modes with an analysis of adaptive thermal comfort
- (2014) Bin Cao et al. ENERGY AND BUILDINGS
- Evolutive Housing System: Refurbishment with new technologies and unsteady simulations of energy performance
- (2014) C. Buratti et al. ENERGY AND BUILDINGS
- Building Behavior Simulation by Means of Artificial Neural Network in Summer Conditions
- (2014) Cinzia Buratti et al. Sustainability
- Coupling a neural network temperature predictor and a fuzzy logic controller to perform thermal comfort regulation in an office building
- (2013) Antonino Marvuglia et al. BUILDING AND ENVIRONMENT
- Evaluation of Green Buildings’ Overall Performance through in Situ Monitoring and Simulations
- (2013) Francesco Asdrubali et al. Energies
- HVAC systems testing and check: A simplified model to predict thermal comfort conditions in moderate environments
- (2012) C. Buratti et al. APPLIED ENERGY
- An adaptive thermal comfort model for hot humid South-East Asia
- (2012) Anh Tuan Nguyen et al. BUILDING AND ENVIRONMENT
- Neural network and polynomial approximated thermal comfort models for HVAC systems
- (2012) M. Castilla et al. BUILDING AND ENVIRONMENT
- The adaptive approach to thermal comfort: A critical overview
- (2012) E. Halawa et al. ENERGY AND BUILDINGS
- Neural networks based predictive control for thermal comfort and energy savings in public buildings
- (2012) P.M. Ferreira et al. ENERGY AND BUILDINGS
- Adaptive thermal comfort model for different climatic zones of North-East India
- (2011) Manoj Kumar Singh et al. APPLIED ENERGY
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started