1 |
Investigating structural and occupant drivers of annual residential electricity consumption using regularization in regression models Satre-Meloy A Energy, 174, 148, 2019 |
2 |
Predicting intra-day load profiles under time-of-use tariffs using smart meter data Kiguchi Y, Heo Y, Weeks M, Choudhary R Energy, 173, 959, 2019 |
3 |
Characterisation of Australian apartment electricity demand and its implications for low-carbon cities Roberts MB, Haghdadi N, Bruce A, MacGill I Energy, 180, 242, 2019 |
4 |
Detailed comparison of energy-related time-use diaries and monitored residential electricity demand Suomalainen K, Eyers D, Ford R, Stephenson J, Anderson B, Jack M Energy and Buildings, 183, 418, 2019 |
5 |
Response to Extreme Energy Price Changes: Evidence from Ukraine Alberini A, Khymych O, Scasny M Energy Journal, 40(1), 189, 2019 |
6 |
A stochastic modelling and simulation approach to heating and cooling electricity consumption in the residential sector Palacios-Garcia EJ, Moreno-Munoz A, Santiago I, Flores-Arias JM, Bellido-Outeirino FJ, Moreno-Garcia IM Energy, 144, 1080, 2018 |
7 |
Is the implementation of the Increasing Block Electricity Prices policy really effective? - Evidence based on the analysis of synthetic control method Lin BQ, Chen X Energy, 163, 734, 2018 |
8 |
Statistical analysis of drivers of residential peak electricity demand Fan H, MacGill IF, Sproul AB Energy and Buildings, 141, 205, 2017 |
9 |
Modelling weather effects for impact analysis of residential time-of-use electricity pricing Miller R, Golab L, Rosenberg C Energy Policy, 105, 534, 2017 |
10 |
Estimation of the contribution of the residential sector to summer peak demand reduction in Japan using an energy end-use simulation model Taniguchi A, Inoue T, Otsuki M, Yamaguchi Y, Shimoda Y, Takami A, Hanaoka K Energy and Buildings, 112, 80, 2016 |