| 1 |
Input-output modeling analysis with a detailed disaggregation of energy sectors for climate change policy-making: A case study of Saskatchewan, Canada
Liu LR, Huang G, Baetz B, Cheng GH, Pittendrigh SM, Pan SY
Renewable Energy, 151, 1307, 2020 |
| 2 |
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 |
| 3 |
Disaggregating power consumption of commercial buildings based on the finite mixture model
Zhou Y, Shi ZX, Shi ZY, Gao Q, Wu LB
Applied Energy, 243, 35, 2019 |
| 4 |
Disaggregating power consumption of commercial buildings based on the finite mixture model
Zhou Y, Shi ZX, Shi ZY, Gao Q, Wu LB
Applied Energy, 243, 35, 2019 |
| 5 |
Energy disaggregation based on smart metering data via semi-binary nonnegative matrix factorization
Miyasawa A, Fujimoto Y, Hayashi Y
Energy and Buildings, 183, 547, 2019 |
| 6 |
Automated load disaggregation for residences with electrical resistance heating
Deb C, Frei M, Hofer J, Schlueter A
Energy and Buildings, 182, 61, 2019 |
| 7 |
Development of an energy benchmarking database based on cost-effective energy performance indicators: Case study on public buildings in South Korea
Kim DW, Kim YM, Lee SE
Energy and Buildings, 191, 104, 2019 |
| 8 |
Self-configuring event detection in electricity monitoring for human-building interaction
Afzalan M, Jazizadeh F, Wang J
Energy and Buildings, 187, 95, 2019 |
| 9 |
A maximum entropy approach to the estimation of spatially and sectorally disaggregated electricity load curves
Tobben J, Schroer T
Applied Energy, 225, 797, 2018 |
| 10 |
Global optimisation of multi-plant manganese alloy production
Digernes MN, Rudi L, Andersson H, Stalhane M, Wasbo SO, Knudsen BR
Computers & Chemical Engineering, 110, 78, 2018 |
