| 1 |
Fault diagnosis of wind turbine with SCADA alarms based multidimensional information processing method
Qiu YN, Feng YH, Infield D
Renewable Energy, 145, 1923, 2020 |
| 2 |
Wind direction fluctuation analysis for wind turbines
Guo P, Chen S, Chu JC, Infield D
Renewable Energy, 162, 1026, 2020 |
| 3 |
Short-term forecasting and uncertainty analysis of wind turbine power based on long short-term memory network and Gaussian mixture model
Zhang JH, Yan J, Infield D, Liu YQ, Lien FS
Applied Energy, 241, 229, 2019 |
| 4 |
Using high-frequency SCADA data for wind turbine performance monitoring: A sensitivity study
Gonzalez E, Stephen B, Infield D, Melero JJ
Renewable Energy, 131, 841, 2019 |
| 5 |
Comparative analysis of Gaussian Process power curve models based on different stationary covariance functions for the purpose of improving model accuracy
Pandit RK, Infield D
Renewable Energy, 140, 190, 2019 |
| 6 |
Deactivation Mechanisms of Atmospheric Plasma Spraying Raney Nickel Electrodes
Chade D, Berlouis L, Infield D, Nielsen PT, Mathiesen T
Journal of the Electrochemical Society, 163(3), F308, 2016 |
| 7 |
Demonstration of the operation and performance of a pressurised alkaline electrolyser operating in the hydrogen fuelling station in Porsgrunn, Norway
Kiaee M, Cruden A, Chladek P, Infield D
Energy Conversion and Management, 94, 40, 2015 |
| 8 |
Smart control for minimizing distribution network reinforcement cost due to electrification
Pudjianto D, Djapic P, Aunedi M, Gan CK, Strbac G, Huang SK, Infield D
Energy Policy, 52, 76, 2013 |
| 9 |
The evolution of electricity demand and the role for demand side participation, in buildings and transport
Barton J, Huang SK, Infield D, Leach M, Ogunkunle D, Torriti J, Thomson M
Energy Policy, 52, 85, 2013 |
| 10 |
Development of an ambient temperature alkaline electrolyser for dynamic operation with renewable energy sources
Douglas TG, Cruden A, Infield D
International Journal of Hydrogen Energy, 38(2), 723, 2013 |
