Posters
Come meet the poster presenters to ask them questions and discuss their work
We would like to invite you to come and see the posters at our upcoming conference. The posters will showcase a diverse range of research topics and provide an opportunity for delegates to engage with the authors and learn more about their work. Whether you are a seasoned researcher or simply curious about the latest developments in your field, we believe that the posters will offer something of interest to everyone. So please, join us at the conference and take advantage of this opportunity to learn and engage with your peers in the academic community. We look forward to seeing you there!
PO247: Performance benchmarking of an Artificial Neural Network model for the classification of wind turbine operation mode
Minh-Thang DO, Head of Energy Division, Meteodyn
Abstract
In order to analyse the performance of wind turbine, Meteodyn has developed an algorithm to automatically classify datapoints into different operation modes. This algorithm is based on the technical knowledge of the wind turbine and the statistical methods. However, the limit of this approach is that it cannot work well with a small amount of data, and therefore difficultly being applied in real-time application or to new wind turbine recently committed. In the scope of this research, a novel classification algorithm, based on Artificial Neural Network is proposed. This algorithm learns from the behaviour of wind turbine in the past (training dataset) to classify the datapoint in the future (test dataset). The test case shows a high level of precision of this model, not only to classify the future data from the wind turbine used to train the model but also for other wind turbines in the wind farm and even wind turbines from other wind farms. This model could be used to classify SCADA in real-time and could be integrate easily into current Real-Time monitoring platforms on the market.
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