Zobrazeno 1 - 10
of 338
pro vyhledávání: '"Fouzi Harrou"'
Publikováno v:
Results in Engineering, Vol 23, Iss , Pp 102504- (2024)
Accurate wind power prediction is critical for efficient grid management and the integration of renewable energy sources into the power grid. This study presents an effective deep-learning approach that improves short-term wind power forecasting accu
Externí odkaz:
https://doaj.org/article/721e9dd10236449e925de32a119933b1
Publikováno v:
Results in Engineering, Vol 23, Iss , Pp 102342- (2024)
Precise traffic flow prediction is a central component of advancing intelligent transportation systems, providing essential insights for optimizing traffic management, reducing travel times, and alleviating congestion. This study introduces an effici
Externí odkaz:
https://doaj.org/article/43ec22ced46046ca996fb3244b0ed374
Publikováno v:
Frontiers in Sensors, Vol 5 (2024)
Drunk driving poses a significant threat to road safety, necessitating effective detection methods to enhance preventive measures and ensure the well-being of road users. Recognizing the critical importance of identifying drunk driving incidents for
Externí odkaz:
https://doaj.org/article/da29e5a83f60482286c42c31d3020dc8
Publikováno v:
Results in Engineering, Vol 22, Iss , Pp 102037- (2024)
Desertification detection is a crucial step to improve the management of affected areas and aid in mitigating the negative impacts of desertification. This study proposes a semi-supervised approach that uses Landsat imagery and radiometric data to de
Externí odkaz:
https://doaj.org/article/fa51e05b110141dcb8f8c3ed2ab2165c
Publikováno v:
Results in Engineering, Vol 21, Iss , Pp 101930- (2024)
Accurately predicting key features in WWTPs is essential for optimizing plant performance and minimizing operational costs. This study assesses the potential of various machine learning models for predicting the inflow to anoxic sludge reactors. Firs
Externí odkaz:
https://doaj.org/article/72df1bb296114b0d98b30915875e44ee
Publikováno v:
e-Prime: Advances in Electrical Engineering, Electronics and Energy, Vol 7, Iss , Pp 100457- (2024)
The accurate modeling and forecasting of Battery State of Health (SOH) is crucial for ensuring reliable performance and longevity of lithium-ion batteries. This article introduces a data-driven approach for SOH prediction using Gaussian Process Regre
Externí odkaz:
https://doaj.org/article/77bc0cefd20a4c4a9ca7b3e7b3633312
Publikováno v:
Results in Engineering, Vol 21, Iss , Pp 101835- (2024)
Solar photovoltaic (PV) systems have become a vital renewable energy source, witnessing rapid global demand. Nevertheless, these systems are susceptible to faults and anomalies that can deteriorate performance and yield significant consequences. Henc
Externí odkaz:
https://doaj.org/article/8019253d04c1414dae94ff9e18dfb0d3
Publikováno v:
Frontiers in Energy Research, Vol 12 (2024)
Externí odkaz:
https://doaj.org/article/e6b6dd7bce6f40cc9243fb96efee971a
Publikováno v:
Results in Engineering, Vol 20, Iss , Pp 101428- (2023)
Wastewater treatment plants (WWTPs) are energy-intensive facilities that play a critical role in meeting stringent effluent quality regulations. Accurate prediction of energy consumption in WWTPs is essential for cost savings, process optimization, r
Externí odkaz:
https://doaj.org/article/ecb2aee384c1402d9758bbf3e588e191
Autor:
Fouzi Harrou, Ying Sun
Fault detection, control, and forecasting have a vital role in renewable energy systems (Photovoltaics (PV) and wind turbines (WTs)) to improve their productivity, ef?ciency, and safety, and to avoid expensive maintenance. For instance, the main cruc
