| 1 |
A methodology for detection and classification of power quality disturbances using a real-time operating system in the context of home energy management systems
Rodrigues WL, Borges FAS, Rabelo RDL, Rodrigues JJPC, Fernandes RAS, da Silva IN
International Journal of Energy Research, 45(1), 203, 2021 |
| 2 |
Data compression approach for the home energy management system
Jia KQ, Guo G, Xiao JC, Zhou H, Wang ZH, He GY
Applied Energy, 247, 643, 2019 |
| 3 |
A hybrid control approach for regulating frequency through demand response
Malik A, Ravishankar J
Applied Energy, 210, 1347, 2018 |
| 4 |
Smart homes, homes, home energy management systems and real-time feedback: Lessons for influencing household energy consumption from a Swedish field study
Nilsson A, Wester M, Lazarevic D, Brandt N
Energy and Buildings, 179, 15, 2018 |
| 5 |
Operation planning method for home air-conditioners considering characteristics of installation environment
Kuroha R, Fujimoto Y, Hirohashi W, Amano Y, Tanabe S, Hayashi Y
Energy and Buildings, 177, 351, 2018 |
| 6 |
Smart transactive energy framework in grid-connected multiple home microgrids under independent and coalition operations
Marzband M, Azarinejadian F, Savaghebi M, Pouresmaeil E, Guerrero JM, Lightbody G
Renewable Energy, 126, 95, 2018 |
| 7 |
Recent advances in the analysis of residential electricity consumption and applications of smart meter data
Yildiz B, Bilbao JI, Dore J, Sproul AB
Applied Energy, 208, 402, 2017 |
| 8 |
Investigation of demand response potentials of residential air conditioners in smart grids using grey-box room thermal model
Hu MM, Xiao F, Wang LS
Applied Energy, 207, 324, 2017 |
| 9 |
Foresee: A user-centric home energy management system for energy efficiency and demand response
Jin X, Baker K, Christensen D, Isley S
Applied Energy, 205, 1583, 2017 |
| 10 |
Energy-saving effect of automatic home energy report utilizing home energy management system data in Japan
Iwafune Y, Mori Y, Kawai T, Yagita Y
Energy, 125, 382, 2017 |
