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Cheneka, B.R. (author), Watson, S.J. (author), Basu, S. (author)Only a few studies on the overall impact of climate change on offshore wind power production and wind power ramps in the North Sea region have been published. This study focuses on the characteristics of expected wind power production and wind power ramps in the future climate aided by the classification of circulations patterns using a self...journal article 2023
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Associating Synoptic-Scale Weather Patterns with Aggregated Offshore Wind Power Production and RampsCheneka, B.R. (author), Watson, S.J. (author), Basu, S. (author)Large-scale weather patterns and their variability can influence both the amount of wind power production and its temporal variation, i.e., wind power ramps. In this study, we use a self-organizing map to cluster hourly sea level pressure into a discrete number of weather patterns. The dependency of wind power production and wind power ramps on...journal article 2021
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Cheneka, B.R. (author), Watson, S.J. (author), Basu, S. (author)Large-scale weather systems have the potential to modulate offshore wind energy production. The Northern European sea areas have recently seen a rapid increase in wind power capacity and thus there is a need to understand how different weather systems affect offshore production from the perspective of energy system integration. In this study,...journal article 2020
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Arends, Eric Lacoa (author), Watson, S.J. (author), Basu, S. (author), Cheneka, B.R. (author)A series of probabilistic models were bench-marked during the European Energy Markets forecasting Competition 2020 to assess their relative accuracy in predicting aggregated Swedish wind power generation using as input historic weather forecasts from a numerical weather prediction model. In this paper, we report the results of one of these...conference paper 2020
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Basu, S. (author), Watson, S.J. (author), Lacoa Arends, Eric (author), Cheneka, B.R. (author)A hybrid neural network model, comprising of a convolutional neural network and a multilayer perceptron network, has been developed for day-ahead forecasting of regional scale wind power production. This model requires operational weather forecasts as input and also has the capability to ingest data from ensemble forecasts. Even though the...conference paper 2020