Simon Watson
Simon Watson
Professor of Wind Energy Systems
Verified email at - Homepage
Cited by
Cited by
Analyzing the impact of weather variables on monthly electricity demand
CL Hor, SJ Watson, S Majithia
IEEE transactions on power systems 20 (4), 2078-2085, 2005
Using SCADA data for wind turbine condition monitoring–a review
J Tautz‐Weinert, SJ Watson
IET Renewable Power Generation 11 (4), 382-394, 2017
Condition monitoring of the power output of wind turbine generators using wavelets
SJ Watson, BJ Xiang, W Yang, PJ Tavner, CJ Crabtree
IEEE transactions on energy conversion 25 (3), 715-721, 2010
Short-term prediction of local wind conditions
L Landberg, SJ Watson
Boundary-Layer Meteorology 70 (1), 171-195, 1994
Future emerging technologies in the wind power sector: A European perspective
S Watson, A Moro, V Reis, C Baniotopoulos, S Barth, G Bartoli, F Bauer, ...
Renewable and sustainable energy reviews 113, 109270, 2019
Comparison of electrical energy efficiency of atmospheric and high-pressure electrolysers
A Roy, S Watson, D Infield
International Journal of Hydrogen Energy 31 (14), 1964-1979, 2006
Reliability analysis for wind turbines with incomplete failure data collected from after the date of initial installation
H Guo, S Watson, P Tavner, J Xiang
Reliability Engineering & System Safety 94 (6), 1057-1063, 2009
Physics of failure approach to wind turbine condition based maintenance
CS Gray, SJ Watson
Wind Energy 13 (5), 395-405, 2010
Estimating the potential yield of small building‐mounted wind turbines
MA Heath, JD Walshe, SJ Watson
Wind Energy: An International Journal for Progress and Applications in Wind …, 2007
Assessment of condition monitoring techniques for offshore wind farms
E Wiggelinkhuizen, T Verbruggen, H Braam, L Rademakers, J Xiang, ...
Application of wind speed forecasting to the integration of wind energy into a large scale power system
SJ Watson, L Landberg, JA Halliday
IEE Proceedings-Generation, Transmission and Distribution 141 (4), 357-362, 1994
Monte Carlo simulation of residential electricity demand for forecasting maximum demand on distribution networks
DHO McQueen, PR Hyland, SJ Watson
IEEE Transactions on power systems 19 (3), 1685-1689, 2004
Airborne wind energy resource analysis
P Bechtle, M Schelbergen, R Schmehl, U Zillmann, S Watson
Renewable energy 141, 1103-1116, 2019
Daily load forecasting and maximum demand estimation using ARIMA and GARCH
CL Hor, SJ Watson, S Majithia
2006 International conference on probabilistic methods applied to power …, 2006
Wind turbine drivetrains: state-of-the-art technologies and future development trends
AR Nejad, J Keller, Y Guo, S Sheng, H Polinder, S Watson, J Dong, Z Qin, ...
Wind Energy Science 7 (1), 387-411, 2022
The impact of the anomalous weather of 1995 on the UK economy
S Subak, JP Palutikof, MD Agnew, SJ Watson, CG Bentham, ...
Climatic change 44, 1-26, 2000
A new matrix method of predicting long-term wind roses with MCP
JC Woods, SJ Watson
Journal of Wind Engineering and Industrial Aerodynamics 66 (2), 85-94, 1997
Building knowledge for substation-based decision support using rough sets
CL Hor, PA Crossley, SJ Watson
IEEE Transactions on Power Delivery 22 (3), 1372-1379, 2007
Quantifying the variability of wind energy
S Watson
Wiley Interdisciplinary Reviews: Energy and Environment 3 (4), 330-342, 2014
An effective approach for rotor electrical asymmetry detection in wind turbine DFIGs
RK Ibrahim, SJ Watson, S Djurović, CJ Crabtree
IEEE Transactions on Industrial Electronics 65 (11), 8872-8881, 2018
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