| 1 |
Deep learning-based feature engineering methods for improved building energy prediction
Fan C, Sun YJ, Zhao Y, Song MJ, Wang JY
Applied Energy, 240, 35, 2019 |
| 2 |
Analysis and optimization of HVAC control systems based on energy and performance considerations for smart buildings
Homod RZ
Renewable Energy, 126, 49, 2018 |
| 3 |
A new data-driven controllability measure with application in intelligent buildings
Shaker HR, Lazarova-Molnar S
Energy and Buildings, 138, 526, 2017 |
| 4 |
Comparative assessment of low-complexity models to predict electricity consumption in an institutional building: Linear regression vs. fuzzy modeling vs. neural networks
Pombeiro H, Santos R, Carreira P, Silva C, Sousa JMC
Energy and Buildings, 146, 141, 2017 |
| 5 |
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 |
| 6 |
Non-intrusive fault identification of power distribution systems in intelligent buildings based on power-spectrum-based wavelet transform
Chang HH
Energy and Buildings, 127, 930, 2016 |
| 7 |
Modeling and control of color tunable lighting systems
Afshari S, Mishra S, Julius A, Lizarralde F, Wason JD, Wen JT
Energy and Buildings, 68, 242, 2014 |
| 8 |
Simplifying manufacturers' data in unitary HVAC equipment through a DX cooling coil modeling
Yang HJ, Xu ZF, Xiong RB, Li HR, Zhang TC, Liu XY, Woradechjumroen D
Energy and Buildings, 74, 152, 2014 |
| 9 |
Standard-based service-oriented infrastructure to integrate intelligent buildings in distributed generation and smart grids
Oliveira-Lima JA, Delgado-Gomes V, Martins JF, Lima C
Energy and Buildings, 76, 450, 2014 |
| 10 |
Development of multi-agent system for building energy and comfort management based on occupant behaviors
Yang R, Wang LF
Energy and Buildings, 56, 1, 2013 |
