| 1 |
Short-term prediction of electric demand in building sector via hybrid support vector regression
Chen YB, Tan HW
Applied Energy, 204, 1363, 2017 |
| 2 |
Day-ahead prediction of hourly electric demand in non-stationary operated commercial buildings: A clustering-based hybrid approach
Chen YB, Tan HW, Berardi U
Energy and Buildings, 148, 228, 2017 |
| 3 |
Energetic analyses of installing SOFC co-generation systems with EV charging equipment in Japanese cafeteria
Tanaka T, Kamiko H, Akiba K, Ito S, Osaki H, Yashiro M, Inui Y
Energy Conversion and Management, 153, 435, 2017 |
| 4 |
Forecasting electric demand of supply fan using data mining techniques
Le Cam M, Daoud A, Zmeureanu R
Energy, 101, 541, 2016 |
| 5 |
A prediction model based on neural networks for the energy consumption of a bioclimatic building
Mena R, Rodriguez F, Castilla M, Arahal MR
Energy and Buildings, 82, 142, 2014 |
| 6 |
Impact of roof integrated PV orientation on the residential electricity peak demand
Sadineni SB, Atallah F, Boehm RF
Applied Energy, 92, 204, 2012 |
| 7 |
Measurements and simulations for peak electrical load reduction in cooling dominated climate
Sadineni SB, Boehm RF
Energy, 37(1), 689, 2012 |
| 8 |
Examining Economic and Environmental Impacts of Differentiated Pricing on the Energy-Intensive Industries in China: Input-Output Approach
Tan ZF, Li L, Wang JH, Chen YS
Journal of Energy Engineering-ASCE, 137(3), 130, 2011 |
| 9 |
The role of hydropower in meeting Turkey's electric energy demand
Yuksek O, Komurcu MI, Yuksel I, Kaygusuz KA
Energy Policy, 34(17), 3093, 2006 |
