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Grzebyk, Daniel (author), Alcañiz Moya, A. (author), Donker, Jaap (author), Zeman, M. (author), Ziar, H. (author), Isabella, O. (author)
Due to the inherent uncertainty in photovoltaic (PV) energy generation, an accurate power forecasting is essential to ensure a reliable operation of PV systems and a safe electric grid. Machine learning (ML) techniques have gained popularity on the development of this task due to its increased accuracy. Most literature, however, focuses only...
journal article 2023
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Ruiz Arenas, S. (author)
Typically, emerging system failures have a strong impact on the performance of industrial systems as well as on the efficiency of their operational and servicing processes. Being aware of these, maintenance and repair researchers have developed multiple failure detection and diagnosis techniques that allow early recognition of system or...
doctoral thesis 2018