| 1 |
Energy-saving opportunities of direct-DC loads in buildings
Gerber DL, Liou R, Brown R
Applied Energy, 248, 274, 2019 |
| 2 |
Predicting plug loads with occupant count data through a deep learning approach
Wang Z, Hong TZ, Piette MA
Energy, 181, 29, 2019 |
| 3 |
Effective management of plug loads in commercial buildings with occupant engagement and centralized controls
Jenkins C, Young R, Tsau J, Razayi H, Kaplan J, Ibeziako MO
Energy and Buildings, 201, 194, 2019 |
| 4 |
Exploring the impact of different parameterisations of occupant-related internal loads in building energy simulation
Ward R, Choudhary R, Heo Y, Rysanek A
Energy and Buildings, 123, 92, 2016 |
| 5 |
Commercial office plug load energy consumption trends and the role of occupant behavior
Gandhi P, Brager GS
Energy and Buildings, 125, 1, 2016 |
| 6 |
Prediction of plug loads in office buildings: Simplified and probabilistic methods
Mahdavi A, Tahmasebi F, Kayalar M
Energy and Buildings, 129, 322, 2016 |
| 7 |
Electricity consumption of medical plug loads in hospital laboratories: Identification, evaluation, prediction and verification
Christiansen N, Kaltschmitt M, Dzukowski F, Isensee F
Energy and Buildings, 107, 392, 2015 |
| 8 |
Estimating the energy consumption and power demand of small power equipment in office buildings
Menezes AC, Cripps A, Buswell RA, Wright J, Bouchlaghem D
Energy and Buildings, 75, 199, 2014 |
| 9 |
Plug load energy analysis: The role of plug loads in LEED certification and energy modeling
Fuertes G, Schiavon S
Energy and Buildings, 76, 328, 2014 |
| 10 |
After-hours power status of office equipment in the USA
Webber CA, Roberson JA, McWhinney MC, Brown RE, Pinckard MJ, Busch JF
Energy, 31(14), 2823, 2006 |
