Searched for: subject%3A%22wind%255C%252Benergy%22
(1 - 5 of 5)
document
Alday Gonzalez, M.F. (author), Baki, B. (author), Basu, S. (author), Lavidas, G. (author)
This Deliverable, 6.2 Renewable Coarse Resource Assessment for the European Region, aims to offer a preliminary overview of the available wind, wave and solar resources across the European Continent. The coarse assessment aims to analyse and assess the current levels of these renewable resources, analysing and discussing the expected variations...
report 2022
document
Alday Gonzalez, M.F. (author), Baki, B. (author), Basu, S. (author), Lavidas, G. (author)
This Deliverable, 6.1 Renewable Correlation of offshore resources, aims to investigate the potential for correlation between parameters of different renewable energies.<br/>The analysis is based on a first layer on coarse data, and will allow us to identify which resources have more “connectivity”. The resource assessment, even at coarse level,...
report 2022
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Li, B. (author), Basu, S. (author), Watson, S.J. (author), Russchenberg, H.W.J. (author)
In the near future, wind and solar generation are projected to play an increasingly important role in Europe's energy sector. With such fast-growing renewable energy development, the presence of simultaneous calm wind and overcast conditions could cause significant shortfalls in production with potentially serious consequences for system...
journal article 2021
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Li, B. (author), Basu, S. (author), Watson, S.J. (author), Russchenberg, H.W.J. (author)
In the coming decades, the European energy system is expected to become increasingly reliant on non-dispatchable generation such as wind and solar power. Under such a renewable energy scenario, a better characterization of the extreme weather condition ‘Dunkelflaute’, which can lead to a sustained reduction of wind and solar power, is important....
journal article 2021
document
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
Searched for: subject%3A%22wind%255C%252Benergy%22
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