| 1 |
Optimal household appliances scheduling of multiple smart homes using an improved cooperative algorithm
Zhu JW, Lin YS, Lei WD, Liu YQ, Tao ML
Energy, 171, 944, 2019 |
| 2 |
Simple electric utility platform: A hardware/software solution for operating emergent microgrids
Manur A, Venkataramanan G, Sehloff D
Applied Energy, 210, 748, 2018 |
| 3 |
Game-theoretic approach to demand-side energy management for a smart neighbourhood in Sydney incorporating renewable resources
Fernandez E, Hossain MJ, Nizami MSH
Applied Energy, 232, 245, 2018 |
| 4 |
How to implement real-time pricing in China? A solution based on power, credit mechanism
Sun M, Ji J, Ampimah BC
Applied Energy, 231, 1007, 2018 |
| 5 |
Optimal load scheduling of household appliances considering consumer preferences: An experimental analysis
Yahia Z, Pradhan A
Energy, 163, 15, 2018 |
| 6 |
An optimal day-ahead load scheduling approach based on the flexibility of aggregate demands
Ayon X, Gruber JK, Hayes BP, Usaola J, Prodanovic M
Applied Energy, 198, 1, 2017 |
| 7 |
Predictive demand side management of a residential house under intermittent primary energy source conditions
Khoury J, Mbayed R, Salloum G, Monmasson E
Energy and Buildings, 112, 110, 2016 |
| 8 |
Interval number optimization for household load scheduling with uncertainty
Wang JD, Li YQ, Zhou Y
Energy and Buildings, 130, 613, 2016 |
| 9 |
Short-term combined economic and emission hydrothermal optimization by surrogate differential evolution
Glotic A, Zamuda A
Applied Energy, 141, 42, 2015 |
| 10 |
Demand side management in a smart grid with multiple electricity suppliers
Jalali MM, Kazemi A
Energy, 81, 766, 2015 |
