| 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 |
Developing incentive demand response with commercial energy management system (CEMS) based on diffusion model, smart meters and new communication protocol
Eissa MM
Applied Energy, 236, 273, 2019 |
| 3 |
Probabilistic individual load forecasting using pinball loss guided LSTM
Wang Y, Gan DH, Sun MY, Zhang N, Lu ZX, Kang CQ
Applied Energy, 235, 10, 2019 |
| 4 |
Can non-intrusive load monitoring be used for identifying an appliance's anomalous behaviour?
Rashid H, Singh P, Stankovic V, Stankovic L
Applied Energy, 238, 796, 2019 |
| 5 |
Bottom-up modelling methodology for urban-scale analysis of residential space heating demand response
Hedegaard RE, Kristensen MH, Pedersen TH, Brun A, Petersen S
Applied Energy, 242, 181, 2019 |
| 6 |
Data-driven classification of residential energy consumption patterns by means of functional connectivity networks
Markovic R, Gosak M, Grubelnik V, Marhl M, Virtic P
Applied Energy, 242, 506, 2019 |
| 7 |
Deconstruct: A scalable method of as-built heat power loss coefficient inference for UK dwellings using smart meter data
Chambers JD, Oreszczyn T
Energy and Buildings, 183, 443, 2019 |
| 8 |
Clustering district heat exchange stations using smart meter consumption data
Tureczek AM, Nielsen PS, Madsen H, Brun A
Energy and Buildings, 182, 144, 2019 |
| 9 |
Informed decision making of battery storage for solar-PV homes using smart meter data
Li HX, Horan P, Luther MB, Ahmed TMP
Energy and Buildings, 198, 491, 2019 |
| 10 |
A domestic operational rating for UK homes: Concept, formulation and application
Lomas KJ, Beizaee A, Allinson D, Haines VJ, Beckhelling J, Loveday DL, Porritt SM, Mallaband B, Morton A
Energy and Buildings, 201, 90, 2019 |
