| 1 |
An agglomerative hierarchical clustering-based strategy using Shared Nearest Neighbours and multiple dissimilarity measures to identify typical daily electricity usage profiles of university library buildings
Li KH, Yang RJ, Robinson D, Ma J, Ma ZJ
Energy, 174, 735, 2019 |
| 2 |
A time varying approach on the price elasticity of electricity in India during 1975-2013
Tiwari AK, Menegaki AN
Energy, 183, 385, 2019 |
| 3 |
A residual load modeling approach for household short-term load forecasting application
Amara F, Agbossou K, Dube Y, Kelouwani S, Cardenas A, Hosseini SS
Energy and Buildings, 187, 132, 2019 |
| 4 |
Identification of typical building daily electricity usage profiles using Gaussian mixture model-based clustering and hierarchical clustering
Li KH, Ma ZJ, Robinson D, Ma J
Applied Energy, 231, 331, 2018 |
| 5 |
Power stations emissions externalities from avoidance behaviors towards air pollution: Evidence from Beijing
Tan-Soo JS, Qin P, Zhang XB
Energy Policy, 121, 336, 2018 |
| 6 |
Modelling home electricity management for sustainability: The impact of response levels, technological deployment & occupancy
Louis JN, Calo A, Leiviska K, Pongracz E
Energy and Buildings, 119, 218, 2016 |
| 7 |
What can we learn from high-frequency appliance-level energy metering? Results from a field experiment
Chen VL, Delmas MA, Kaiser WJ, Locke SL
Energy Policy, 77, 164, 2015 |
| 8 |
Uncertainties in the design and operation of distributed energy resources: The case of micro-CHP systems
Houwing M, Ajah AN, Heihnen PW, Bouwmans I, Herder PM
Energy, 33(10), 1518, 2008 |
