| 1 |
Linking energy-cyber-physical systems with occupancy prediction and interpretation through WiFi probe-based ensemble classification
Wang W, Hong TZ, Li N, Wang RQ, Chen JY
Applied Energy, 236, 55, 2019 |
| 2 |
Investigation and analysis of Chinese residential building occupancy with large-scale questionnaire surveys
Hu S, Yan D, An JJ, Guo SY, Qian MY
Energy and Buildings, 193, 289, 2019 |
| 3 |
Occupancy sensing in buildings: A review of data analytics approaches
Saha H, Florita AR, Henze GP, Sarkar S
Energy and Buildings, 188, 278, 2019 |
| 4 |
Building occupancy modeling using generative adversarial network
Chen ZH, Jiang CY
Energy and Buildings, 174, 372, 2018 |
| 5 |
A context-aware method for building occupancy prediction
Adamopoulou AA, Tryferidis AM, Tzovaras DK
Energy and Buildings, 110, 229, 2016 |
| 6 |
Load forecast on intelligent buildings based on temporary occupancy monitoring
Oliveira-Lima JA, Morais R, Martins JF, Florea A, Lima C
Energy and Buildings, 116, 512, 2016 |
| 7 |
Energy performance model development and occupancy number identification of institutional buildings
Yang JJ, Santamouris M, Lee SE, Deb C
Energy and Buildings, 123, 192, 2016 |
| 8 |
The effect of spatial and temporal randomness of stochastically generated occupancy schedules on the energy performance of a multiresidential building
Carlucci S, Lobaccaro G, Li Y, Lucchino EC, Ramaci R
Energy and Buildings, 127, 279, 2016 |
| 9 |
Modeling regular occupancy in commercial buildings using stochastic models
Chen ZH, Xu JM, Soh YC
Energy and Buildings, 103, 216, 2015 |
| 10 |
Occupancy measurement in commercial office buildings for demand-driven control applications-A survey and detection system evaluation
Labeodan T, Zeiler W, Boxem G, Zhao Y
Energy and Buildings, 93, 303, 2015 |
