| 1 |
Machine learning-based energy consumption clustering and forecasting for mixed-use buildings
Culaba AB, Del Rosario AJR, Ubando AT, Chang JS
International Journal of Energy Research, 44(12), 9659, 2020 |
| 2 |
A comprehensive review of energy-related data for US commercial buildings
Ye YY, Zuo WD, Wang G
Energy and Buildings, 186, 126, 2019 |
| 3 |
Comparative study of air-conditioning energy use of four office buildings in China and USA
Zhou X, Yan D, An JJ, Hong TZ, Shi X, Jin X
Energy and Buildings, 169, 344, 2018 |
| 4 |
The impact of the energy performance regulations' updated on the construction technology, economics and energy aspects of new residential buildings: The case of Greece
Gaglia AG, Tsikaloudaki AG, Laskos CM, Dialynas EN, Argiriou AA
Energy and Buildings, 155, 225, 2017 |
| 5 |
Prediction of residential building energy consumption: A neural network approach
Biswas MAR, Robinson MD, Fumo N
Energy, 117, 84, 2016 |
| 6 |
Thermal characterization of buildings from the monitoring of the AC system consumption
Paya J, Corberan JM, de Gracia A, Castell A, Cabeza LF
Energy and Buildings, 116, 59, 2016 |
| 7 |
Comparison of integrated clustering methods for accurate and stable prediction of building energy consumption data
Hsu D
Applied Energy, 160, 153, 2015 |
| 8 |
A study and a directory of energy consumption data sets of buildings
Babaei T, Abdi H, Lim CP, Nahavandi S
Energy and Buildings, 94, 91, 2015 |
| 9 |
Field study on the energy consumption of school buildings in Luxembourg
Thewes A, Maas S, Scholzen F, Waldmann D, Zurbes A
Energy and Buildings, 68, 460, 2014 |
| 10 |
Impact of climate change on building energy use in different climate zones and mitigation and adaptation implications
Wan KKW, Li DHW, Pan WY, Lam JC
Applied Energy, 97, 274, 2012 |
