1 |
The Influence of the color of light on the customers' perception of service quality and satisfaction in the restaurant Ozkul E, Bilgili B, Koc E Color Research and Application, 45(6), 1217, 2020 |
2 |
Information Searching in the Residential Solar PV Market Pless J, Fell H, Sigrin B Energy Journal, 41(4), 255, 2020 |
3 |
Defining virtual control group to improve customer baseline load calculation of residential demand response Lee E, Lee K, Lee H, Kim E, Rhee W Applied Energy, 250, 946, 2019 |
4 |
What's in the box?! Towards explainable machine learning applied to non-residential building smart meter classification Miller C Energy and Buildings, 199, 523, 2019 |
5 |
Assessing variability of photovoltaic load supply in Hawai'i Assane D, Konan DE, Anukoolthamchote PC Energy Policy, 132, 290, 2019 |
6 |
Designing efficient distribution network charges in the context of active customers Abdelmotteleb I, Gomez T, Avila JPC, Reneses J Applied Energy, 210, 815, 2018 |
7 |
Improvements to the customer baseline load (CBL) using standard energy consumption considering energy efficiency and demand response Lee J, Yoo S, Kim J, Song D, Jeong H Energy, 144, 1052, 2018 |
8 |
Customer satisfaction based reliability evaluation of active distribution networks Li GF, Bie ZH, Xie HP, Lin YL Applied Energy, 162, 1571, 2016 |
9 |
Cross-domain feature selection and coding for household energy behavior Tong X, Li R, Li FR, Kang CQ Energy, 107, 9, 2016 |
10 |
Classification of new electricity customers based on surveys and smart metering data Viegas JL, Vieira SM, Melicio R, Mendes VMF, Sousa JMC Energy, 107, 804, 2016 |