| 1 |
Modelling and forecasting hourly electricity demand in West African countries
Adeoye O, Spataru C
Applied Energy, 242, 311, 2019 |
| 2 |
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 |
| 3 |
A novel approach for estimating residential space heating demand
Berger M, Worlitschek J
Energy, 159, 294, 2018 |
| 4 |
Residential load management in an energy hub with heat pump water heater
Setlhaolo D, Sichilalu S, Zhang JF
Applied Energy, 208, 551, 2017 |
| 5 |
Real time optimal schedule controller for home energy management system using new binary backtracking search algorithm
Ahmed MS, Mohamed A, Khatib T, Shareef H, Homod RZ, Abd Ali J
Energy and Buildings, 138, 215, 2017 |
| 6 |
Multi-market demand response using economic model predictive control of space heating in residential buildings
Hedegaard RE, Pedersen TH, Petersen S
Energy and Buildings, 150, 253, 2017 |
| 7 |
Residential demand response scheme based on adaptive consumption level pricing
Haider HT, See OH, Elmenreich W
Energy, 113, 301, 2016 |
| 8 |
An automated residential demand response pilot experiment, based on day-ahead dynamic pricing
Vanthournout K, Dupont B, Foubert W, Stuckens C, Claessens S
Applied Energy, 155, 195, 2015 |
| 9 |
Residential emissions reductions through variable timing of electricity consumption
Harris AR, Rogers MM, Miller CJ, McElmurry SP, Wang CS
Applied Energy, 158, 484, 2015 |
| 10 |
Residential demand response reduces air pollutant emissions on peak electricity demand days in New York City
Gilbraith N, Powers SE
Energy Policy, 59, 459, 2013 |
