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Al Mansur A

As seen in: Oxford University Press (OUP), PeerJ
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Articles

Deep learning models for damage type detection in wind turbines

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By EL M, Al Mansur A, Ferdi Doğan, Arce León C
| PeerJ
Renewable energy sources, such as solar, wind, hydro, and geothermal, play a crucial role in addressing the global energy crisis and combating climate change. Unlike fossil fuels, which are finite and emit greenhouse gases, renewable energy sources are sustainable and have a minimal environmental impact (Bhuiyan, 2022). Renewable energy reduces dependency on imported fuels, enhances energy security, and creates jobs in emerging green technologies.
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REDf: a deep learning model for short-term load forecasting to facilitate renewable integration and attaining the SDGs 7, 9, and 13

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By Murray DG, Ali ES, Al Mansur A, Keras Collaborators
| PeerJ
REDf: a deep learning model for short-term load forecasting to facilitate renewable integration and attaining the SDGs 7, 9, and 13 1Department of Computer Science, American International University—Bangladesh, Dhaka, Dhaka, Bangladesh 2Faculty of Computing, Universiti Malaysia Pahang Al-Sultan Abdullah, Pekan, Pahang, Malaysia 3Faculty of Electrical and Electronics Engineering Technology, Universiti Malaysia Pahang Al-Sultan Abdullah, Pekan, Pahang, Malaysia 4Department of Degroote School of...
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Maximizing aged photovoltaic array power: a computer modelling study

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By Al Mansur A
| Oxford University Press (OUP)
Renewable energy has shown great promise in providing a sizable portion of the world’s energy needs. Photovoltaic (PV) cells have emerged as a source of clean energy, particularly in remote sunny regions. PV cells are usually deployed in arrays consisting of cells connected in series, in parallel or in combination. Usually, 36–72 cells are grouped inside a PV module and thus PV arrays consist of multiple interconnected PV modules.
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