Browsing AURA by Author "Mathew, Manuel Sathyajith"
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Data driven approach for the management of wind and solar energy integrated electrical distribution network with high penetration of electric vehicles
Mathew, Manuel Sathyajith; Kolhe, Mohan Lal; Kandukuri, Surya Teja; Omlin, Christian Walter Peter (Peer reviewed; Journal article, 2023)With the increased penetration of fluctuating renewables and growing population of contemporary loads such as electric vehicles, the uncertainties in the generation and demand in the electric power grids are increasing. ... -
Estimation of Wind Turbine Performance Degradation with Deep Neural Networks
Mathew, Manuel Sathyajith; Kandukuri, Surya Teja; Omlin, Christian Walter Peter (Journal article; Peer reviewed, 2022)In this paper, we estimate the age-related performance degradation of a wind turbine working under Norwegian environment, based on a deep neural network model. Ten years of high-resolution operational data from a 2 MW wind ... -
Fully Automated Diagnostics of Induction Motor Drives in Offshore Wind Turbine Pitch Systems Using Extended Park Vector Transform and Convolutional Neural Network
Mathew, Manuel Sathyajith; Kandukuri, Surya Teja; Omlin, Christian Walter Peter (Journal article; Peer reviewed, 2024)Due to their location and related complexities, the offshore wind farms (OWF) have higher downtimes and operation and maintenance (O&M) costs compared to their onshore counterparts. Condition monitoring could help in ... -
Smart Energy Management System for Renewable Energy Prioritized Electrical Distribution Network with Increased Penetration of Electric Vehicles
Mathew, Manuel Sathyajith (Master thesis, 2021)Available from 01/07/2026 -
Soft Ordering 1-D CNN to Estimate the Capacity Factor of Windfarms for Identifying the Age-Related Performance Degradation
Mathew, Manuel Sathyajith; Kandukuri, Surya Teja; Omlin, Christian Walter Peter (Peer reviewed; Journal article, 2024)Wind energy plays a vital role in meeting the sustainable development goals set forth by the United Nations. Performance of wind energy farms degrades gradually with aging. For deriving maximum benefits from these ...