标题
Occupancy-Based Energy Consumption Estimation Improvement through Deep Learning
作者
关键词
-
出版物
SENSORS
Volume 23, Issue 4, Pages 2127
出版商
MDPI AG
发表日期
2023-02-14
DOI
10.3390/s23042127
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。- Plug-Mate: An IoT-based occupancy-driven plug load management system in smart buildings
- (2022) Zeynep Duygu Tekler et al. BUILDING AND ENVIRONMENT
- Occupancy-based energy consumption modelling using machine learning algorithms for institutional buildings
- (2021) Prashant Anand et al. ENERGY AND BUILDINGS
- Using WiFi connection counts and camera-based occupancy counts to estimate and predict building occupancy
- (2021) Nastaran Alishahi et al. ENERGY AND BUILDINGS
- Optimizing energy consumption and occupants comfort in open-plan offices using local control based on occupancy dynamic data
- (2020) Shide Salimi et al. BUILDING AND ENVIRONMENT
- A review of building occupancy measurement systems
- (2020) Kailai Sun et al. ENERGY AND BUILDINGS
- Feature extraction and genetic algorithm enhanced adaptive deep neural network for energy consumption prediction in buildings
- (2020) X.J. Luo et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Day-ahead prediction of plug-in loads using a long short-term memory neural network
- (2020) Romana Markovic et al. ENERGY AND BUILDINGS
- Prediction of occupancy level and energy consumption in office building using blind system identification and neural networks
- (2019) Yixuan Wei et al. APPLIED ENERGY
- Cross-source sensing data fusion for building occupancy prediction with adaptive lasso feature filtering
- (2019) Wei Wang et al. BUILDING AND ENVIRONMENT
- Predicting plug loads with occupant count data through a deep learning approach
- (2019) Zhe Wang et al. ENERGY
- An occupancy-based model for building electricity consumption prediction: A case study of three campus buildings in Tianjin
- (2019) Yan Ding et al. ENERGY AND BUILDINGS
- Energy saving estimation for plug and lighting load using occupancy analysis
- (2019) Prashant Anand et al. RENEWABLE ENERGY
- Rethinking the role of occupant behavior in building energy performance: A review
- (2018) Yan Zhang et al. ENERGY AND BUILDINGS
- Building occupancy estimation and detection: A review
- (2018) Zhenghua Chen et al. ENERGY AND BUILDINGS
- Critical review and research roadmap of office building energy management based on occupancy monitoring
- (2018) Shide Salimi et al. ENERGY AND BUILDINGS
- IEA EBC annex 53: Total energy use in buildings—Analysis and evaluation methods
- (2017) Hiroshi Yoshino et al. ENERGY AND BUILDINGS
- Predictive control of indoor environment using occupant number detected by video data and CO 2 concentration
- (2017) Fulin Wang et al. ENERGY AND BUILDINGS
- Deep learning
- (2015) Yann LeCun et al. NATURE
Become a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get StartedAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started