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Load forecasting under changing climatic conditions for the city of Sydney, Australia
Ahmed T, Vu DH, Muttaqi KM, Agalgaonkar AP
Energy, 142, 911, 2018 |
| 2 |
Short-term electricity demand forecasting using autoregressive based time varying model incorporating representative data adjustment
Vu DH, Muttaqi KM, Agalgaonkar AP, Bouzerdoum A
Applied Energy, 205, 790, 2017 |
| 3 |
Reducing uncertainty accumulation in wind-integrated electrical grid
Hung TC, Chong J, Chan KY
Energy, 141, 1072, 2017 |
| 4 |
Analysis and long term forecasting of electricity demand trough a decomposition model: A case study for Spain
Perez-Garcia J, Moral-Carcedo J
Energy, 97, 127, 2016 |
| 5 |
Forecasting annual gross electricity demand by artificial neural networks using predicted values of socio-economic indicators and climatic conditions: Case of Turkey
Gunay ME
Energy Policy, 90, 92, 2016 |
| 6 |
Using multi-output feedforward neural network with empirical mode decomposition based signal filtering for electricity demand forecasting
An N, Zhao WG, Wang JZ, Shang D, Zhao ED
Energy, 49, 279, 2013 |
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Forecasting electricity infeed for distribution system networks: An analysis of the Dutch case
Tanrisever F, Derinkuyu K, Heeren M
Energy, 58, 247, 2013 |
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Aggregate electricity demand in South Africa: Conditional forecasts to 2030
Inglesi R
Applied Energy, 87(1), 197, 2010 |
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Grey prediction with rolling mechanism for electricity demand forecasting of Turkey
Akay D, Atak M
Energy, 32(9), 1670, 2007 |
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A trigonometric grey prediction approach to forecasting electricity demand
Zhou P, Ang BW, Poh KL
Energy, 31(14), 2839, 2006 |
