Blar i AURA på forfatter "Mathew, Sathyajith"
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Developing a Novel Modeling Framework for Predicting the Performance of Offshore Wind Farms
Fredriksen, Joachim (Master thesis, 2023)This thesis investigated the Anholt offshore wind farm, developed three distinct Deep Learning models for power prediction, and used SHAP values to explain the models’ predictions. Model 1 developed a submodel for each ... -
Direct and indirect short-term aggregated turbine- and farm-level wind power forecasts integrating several NWP sources
Yakoub, Ghali; Mathew, Sathyajith; Leal, J B (Peer reviewed; Journal article, 2023)The wind power sector is experiencing rapid growth, which creates new challenges for its electricity grid integration. Accurate wind power forecasting (WPF) is crucial for trading, balancing, and dispatching wind energy. ... -
Downscaling and improving the wind forecasts from NWP for wind energy applications using support vector regression
Yakoub, Ghali; Mathew, Sathyajith; Leal, J. B. (Journal article; Peer reviewed, 2020) -
Effect of Rotor Tilt on the Performance of Floating Offshore Wind Turbines
Leikvoll, Camilla (Master thesis, 2023)This thesis investigated the tilt loss of FOWT in conjunction with power performance. Consisting of three main parts, where the first calculates the power loss of three turbines influenced by tilt, the next part is the AEP ... -
Ensemble Machine Learning for Predicting the Power Output from Different Solar Photovoltaic Systems
Veena, Raj; Dotse, Sam-Quarcoo; Mathew, Sathyajith; Petra, M. I.; Yassin, Hayati (Peer reviewed; Journal article, 2023)In this paper, ensemble-based machine learning models with gradient boosting machine and random forest are proposed for predicting the power production from six different solar PV systems. The models are based on three ... -
Exploring the Potential of Microgrids in the Effective Utilisation of Renewable Energy : A Comprehensive Analysis of Evolving Themes and Future Priorities Using Main Path Analysis
Rajendran Pillai, Vipin Raj; Rajasekharan Nair Valsala, Rohit; Raj, Veena; Petra, Muhammed Iskandar; Krishnan Nair, Satheesh Kumar; Mathew, Sathyajith (Journal article; Peer reviewed, 2023)Microgrids are energy systems that can operate independently or in conjunction with the main electricity grid. Their purpose is to link different energy sources, enhance customer participation in energy markets, and improve ... -
A High-Power Solar PV-fed TISO DC-DC Converter for Electric Vehicle Charging Applications
Kunjuramakurup, Lijin; Sulthan, Sheik Mohammed; Ponparakkal, Muhammed Shanir; Raj, Veena; Mathew, Sathyajith (Peer reviewed; Journal article, 2023)In this paper, a two-input, single-output (TISO) DC-DC converter for electric vehicle charging applications with solar photovoltaic (PV) as one of the sources is discussed. A novel, simple, and effective control strategy ... -
Intelligent estimation of wind farm performance with direct and indirect ‘point’ forecasting approaches integrating several NWP models
Yakoub, Ghali; Mathew, Sathyajith; Leal, João Gouveia Aparício Bento (Peer reviewed; Journal article, 2022)Reliable wind power forecasting is essential for profitably trading wind energy in the electricity market and efficiently integrating wind-generated electricity into the power grids. In this paper, we propose short- and ... -
Optimal capacity density of offshore wind farms : An analysis for the prospective wind energy projects in the North Sea
Jha, Akansha (Master thesis, 2023)The North Sea and Norwegian continental shelf have been identified to possess some of the world's best wind resources. Nine countries, including Norway, have signed the Ostend Declaration and established their offshore ... -
Optimal Clustering and Layout of Norhy- brid Vertical Axis Wind Turbine Farms
Sættem, Markus (Master thesis, 2023)This work presents an approach for optimizing Vertical Axis Wind Turbine (VAWT) clusters and Wind Farm Layout Optimization (WFLO), employing a combination of Computational Fluid Dynamics (CFD) simulations and a Genetic ... -
Power production forecast for distributed wind energy systems using support vector regression
Yakoub, Ghali; Mathew, Sathyajith; Leal, J. B. (Peer reviewed; Journal article, 2022)Due to the inherent intermittency in wind power production, reliable short-term wind power production forecasting has become essential for the efficient grid and market integration of wind energy. The current wind power ...