| 1 |
A behavior-centered framework for real-time control and load-shedding using aggregated residential energy resources in distribution microgrids
Mammoli A, Robinson M, Ayon V, Martinez-Ramon M, Chen CF, Abreu JM
Energy and Buildings, 198, 275, 2019 |
| 2 |
A realistic energy optimization model for smart-home appliances
Dutra MDD, Anjos MF, Digabel S
International Journal of Energy Research, 43(8), 3237, 2019 |
| 3 |
Residential probabilistic load forecasting: A method using Gaussian process designed for electric load data
Shepero M, van der Meer D, Munkhammar J, Widen J
Applied Energy, 218, 159, 2018 |
| 4 |
Optimal load scheduling of household appliances considering consumer preferences: An experimental analysis
Yahia Z, Pradhan A
Energy, 163, 15, 2018 |
| 5 |
Optimal collaborative demand-response planner for smart residential buildings
Gomez-Herrera JA, Anjos MF
Energy, 161, 370, 2018 |
| 6 |
Power capacity profile estimation for building heating and cooling in demand-side management
Gomez JA, Anjos MF
Applied Energy, 191, 492, 2017 |
| 7 |
Short-term residential load forecasting: Impact of calendar effects and forecast granularity
Lusis P, Khalilpour KR, Andrew L, Liebman A
Applied Energy, 205, 654, 2017 |
| 8 |
A Comparative analysis of system efficiency for AC and DC residential power distribution paradigms
Dastgeer F, Gelani HE
Energy and Buildings, 138, 648, 2017 |
| 9 |
Stochastic analysis of residential micro combined heat and power system
Karami H, Sanjari MJ, Gooi HB, Gharehpetian GB, Guerrero JM
Energy Conversion and Management, 138, 190, 2017 |
| 10 |
A design methodology of stand-alone photovoltaic power systems for rural electrification
Ghaib K, Ben-Fares FZ
Energy Conversion and Management, 148, 1127, 2017 |
