Grupo de Investigación en Redes Eléctricas
EÑ1
Aarhus University
Århus, DinamarcaPublicacions en col·laboració amb investigadors/es de Aarhus University (9)
2024
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VedicDateTime: An R package to implement Vedic calendar system
Multimedia Tools and Applications, Vol. 83, Núm. 11, pp. 32141-32157
2023
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Forecasting different dimensions of liquidity in the intraday electricity markets: A review
AIMS Energy, Vol. 11, Núm. 5, pp. 918-959
2022
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cleanTS: Automated (AutoML) tool to clean univariate time series at microscales
Neurocomputing, Vol. 500, pp. 155-176
2021
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A review on state-of-the-art reviews in wind-turbine-and wind-farm-related topics
Energies, Vol. 14, Núm. 8
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The state-of-the-art progress in cloud detection, identification, and tracking approaches: A systematic review
Energies, Vol. 14, Núm. 23
2020
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Computer modeling for the operation optimization of mula reservoir, upper godavari basin, India, using the jaya algorithm
Sustainability (Switzerland), Vol. 12, Núm. 1
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Smart water technology for efficient water resource management: A review
Energies, Vol. 13, Núm. 23
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The hybridization of ensemble empirical mode decomposition with forecasting models: Application of short-term wind speed and power modeling
Energies, Vol. 13, Núm. 7
2019
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A comparison between reconstruction methods for generation of synthetic time series applied to wind speed simulation
IEEE Access, Vol. 7, pp. 135386-135398