IoT-based platform for automated IEQ spatio-temporal analysis in buildings using machine learning techniques
出版年份 2022 全文链接
标题
IoT-based platform for automated IEQ spatio-temporal analysis in buildings using machine learning techniques
作者
关键词
-
出版物
AUTOMATION IN CONSTRUCTION
Volume 139, Issue -, Pages 104261
出版商
Elsevier BV
发表日期
2022-04-26
DOI
10.1016/j.autcon.2022.104261
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。- Optimisation of thermal comfort and indoor air quality estimations applied to in-use buildings combining NSGA-III and XGBoost
- (2022) Miguel Martínez-Comesaña et al. Sustainable Cities and Society
- Sensors for indoor air quality monitoring and assessment through Internet of Things: a systematic review
- (2021) Jagriti Saini et al. ENVIRONMENTAL MONITORING AND ASSESSMENT
- Moving to a green building: Indoor environment quality, thermal comfort and health
- (2021) Rana Elnaklah et al. BUILDING AND ENVIRONMENT
- Indoor environment data time-series reconstruction using autoencoder neural networks
- (2021) Antonio Liguori et al. BUILDING AND ENVIRONMENT
- Incorporating SLAM and mobile sensing for indoor CO2 monitoring and source position estimation
- (2021) Yuan Yang et al. JOURNAL OF CLEANER PRODUCTION
- Temporal and spatial variation of PM2.5 in indoor air monitored by low-cost sensors
- (2021) Huizhong Shen et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Use of optimised MLP neural networks for spatiotemporal estimation of indoor environmental conditions of existing buildings
- (2021) Miguel Martínez-Comesaña et al. BUILDING AND ENVIRONMENT
- Path Loss Prediction Based on Machine Learning Techniques: Principal Component Analysis, Artificial Neural Network, and Gaussian Process
- (2020) Han-Shin Jo et al. SENSORS
- Towards a semantic Construction Digital Twin: Directions for future research
- (2020) Calin Boje et al. AUTOMATION IN CONSTRUCTION
- A performance comparison of multi-objective optimization-based approaches for calibrating white-box building energy models
- (2020) Sandra Martínez et al. ENERGY AND BUILDINGS
- Development of low-cost indoor air quality monitoring devices: Recent advancements
- (2020) H. Chojer et al. SCIENCE OF THE TOTAL ENVIRONMENT
- EAGA-MLP—An Enhanced and Adaptive Hybrid Classification Model for Diabetes Diagnosis
- (2020) Sushruta Mishra et al. SENSORS
- On the Interaction between Lighting and Thermal Comfort: an Integrated Approach to IEQ
- (2020) Laura Bellia et al. ENERGY AND BUILDINGS
- Prediction of Building’s Thermal Performance Using LSTM and MLP Neural Networks
- (2020) Miguel Martínez Comesaña et al. Applied Sciences-Basel
- Spatial interpolation-based analysis method targeting visualization of the indoor thermal environment
- (2020) Zhuoyu Yu et al. BUILDING AND ENVIRONMENT
- Performance assessment of low-cost environmental monitors and single sensors under variable indoor air quality and thermal conditions
- (2020) Ingrid Demanega et al. BUILDING AND ENVIRONMENT
- Heat Loss Coefficient Estimation Applied to Existing Buildings through Machine Learning Models
- (2020) Miguel Martínez-Comesaña et al. Applied Sciences-Basel
- Detection of Smoking in Indoor Environment Using Machine Learning
- (2020) Jae Hyuk Cho Applied Sciences-Basel
- Enhancing occupants' comfort through BIM-based probabilistic approach
- (2020) Hamidreza Alavi et al. AUTOMATION IN CONSTRUCTION
- Functional random forest with applications in dose-response predictions
- (2019) Raziur Rahman et al. Scientific Reports
- Random forest prediction of Alzheimer’s disease using pairwise selection from time series data
- (2019) P. J. Moore et al. PLoS One
- Asymptotic statistics for multilayer perceptron with ReLU hidden units
- (2019) J. Rynkiewicz NEUROCOMPUTING
- Vector field-based support vector regression for building energy consumption prediction
- (2019) Hai Zhong et al. APPLIED ENERGY
- Landslide Susceptibility Prediction Using Particle-Swarm-Optimized Multilayer Perceptron: Comparisons with Multilayer-Perceptron-Only, BP Neural Network, and Information Value Models
- (2019) Deying Li et al. Applied Sciences-Basel
- A carbon price prediction model based on secondary decomposition algorithm and optimized back propagation neural network
- (2019) Wei Sun et al. JOURNAL OF CLEANER PRODUCTION
- Automated mobile sensing: Towards high-granularity agile indoor environmental quality monitoring
- (2018) Ming Jin et al. BUILDING AND ENVIRONMENT
- Smart grid load forecasting using online support vector regression
- (2018) Petra Vrablecová et al. COMPUTERS & ELECTRICAL ENGINEERING
- Comparison of Support Vector Machine and Extreme Gradient Boosting for predicting daily global solar radiation using temperature and precipitation in humid subtropical climates: A case study in China
- (2018) Junliang Fan et al. ENERGY CONVERSION AND MANAGEMENT
- Remaining Useful Life Prediction and State of Health Diagnosis for Lithium-Ion Batteries Using Particle Filter and Support Vector Regression
- (2018) Jingwen Wei et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Multilayer Perceptron Neural Network for Surface Water Extraction in Landsat 8 OLI Satellite Images
- (2018) Wei Jiang et al. Remote Sensing
- AIPpred: Sequence-Based Prediction of Anti-inflammatory Peptides Using Random Forest
- (2018) Balachandran Manavalan et al. Frontiers in Pharmacology
- Tree-based ensemble methods for predicting PV power generation and their comparison with support vector regression
- (2018) Muhammad Waseem Ahmad et al. ENERGY
- Wearable insole pressure system for automated detection and classification of awkward working postures in construction workers
- (2018) Maxwell Fordjour Antwi-Afari et al. AUTOMATION IN CONSTRUCTION
- A Short-Term Wind Speed Forecasting Model by Using Artificial Neural Networks with Stochastic Optimization for Renewable Energy Systems
- (2018) Chiou-Jye Huang et al. Energies
- A novel artificial intelligence approach based on Multi-layer Perceptron Neural Network and Biogeography-based Optimization for predicting coefficient of consolidation of soil
- (2018) Binh Thai Pham et al. CATENA
- Trees vs Neurons: Comparison between random forest and ANN for high-resolution prediction of building energy consumption
- (2017) Muhammad Waseem Ahmad et al. ENERGY AND BUILDINGS
- A novel hybrid model for hourly global solar radiation prediction using random forests technique and firefly algorithm
- (2017) Ibrahim Anwar Ibrahim et al. ENERGY CONVERSION AND MANAGEMENT
- A Comparative Study on Machine Learning Algorithms for Smart Manufacturing: Tool Wear Prediction Using Random Forests
- (2017) Dazhong Wu et al. JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME
- Development of an early-warning system for site work in hot and humid environments: A case study
- (2016) Wen Yi et al. AUTOMATION IN CONSTRUCTION
- Predicting the CO 2 levels in buildings using deterministic and identified models
- (2016) Alexandros Pantazaras et al. ENERGY AND BUILDINGS
- MLPNN Training via a Multiobjective Optimization of Training Error and Stochastic Sensitivity
- (2016) Daniel S. Yeung et al. IEEE Transactions on Neural Networks and Learning Systems
- Random Forests for Global and Regional Crop Yield Predictions
- (2016) Jig Han Jeong et al. PLoS One
- Quantitative energy performance assessment methods for existing buildings
- (2012) Shengwei Wang et al. ENERGY AND BUILDINGS
- Using artificial neural network models in stock market index prediction
- (2011) Erkam Guresen et al. EXPERT SYSTEMS WITH APPLICATIONS
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 MoreAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now