| 1 |
Do residential building energy efficiency standards reduce energy consumption in China? - A data-driven method to validate the actual performance of building energy efficiency standards
Wang X, Feng W, Cai WG, Ren H, Ding C, Zhou N
Energy Policy, 131, 82, 2019 |
| 2 |
A novel data-driven approach for residential electricity consumption prediction based on ensemble learning
Chen KL, Jiang JC, Zheng FD, Chen KJ
Energy, 150, 49, 2018 |
| 3 |
Decomposition and forecasting analysis of China's household electricity consumption using three-dimensional decomposition and hybrid trend extrapolation models
Meng M, Wang LX, Shang W
Energy, 165, 143, 2018 |
| 4 |
Household responsiveness to residential demand response strategies: Results and policy implications from a Swedish field study
Nilsson A, Lazarevic D, Brandt N, Kordas O
Energy Policy, 122, 273, 2018 |
| 5 |
The effect of interest in renewable energy on US household electricity consumption: An analysis using Google Trends data
Park S, Kim J
Renewable Energy, 127, 1004, 2018 |
| 6 |
Variation of household electricity consumption and potential impact of outdoor PM2.5 concentration: A comparison between Singapore and Shanghai
You S, Neoh KG, Tong YW, Dai YJ, Wang CH
Applied Energy, 188, 475, 2017 |
| 7 |
A GPU deep learning metaheuristic based model for time series forecasting
Coelho IM, Coelho VN, Luz EJD, Ochi LS, Guimaraes FG, Rios E
Applied Energy, 201, 412, 2017 |
| 8 |
Persistence of the effects of providing feedback alongside smart metering devices on household electricity demand
Schleich J, Faure C, Klobasa M
Energy Policy, 107, 225, 2017 |
| 9 |
Quantifying self-consumption linked to solar home battery systems: Statistical analysis and economic assessment
Quoilin S, Kavvadias K, Mercier A, Pappone I, Zucker A
Applied Energy, 182, 58, 2016 |
| 10 |
Estimating the hourly electricity profile of Japanese households -Coupling of engineering and statistical methods
Shiraki H, Nakamura S, Ashina S, Honjo K
Energy, 114, 478, 2016 |
