Tarikua Mekashaw Zenebe
Om
I am always keen to know more about renewable energy (especially solar energy) and data-driven approaches. As a result, I am currently a PhD candidate working on "Machine Learning for Solar Photovoltaic (PV) System Performance and Operational Fault Analysis", with the goal of enhancing PV performance as well as safety. I got my master’s degree in renewable energy at the University of Oldenburg, Germany. I earned my BSc degree in Electrical Power Engineering from the Addis Ababa Institute of Technology in Ethiopia.
Research interests
- Renewable energy
- PV System operation and maintenance
- Hybrid PV system
- Data-driven methods (Artificial Intelligence)
- Energy data analytics
- Agrivoltaics (other integrated PV applications)
Publikasjoner
2026
-
Zenebe, Tarikua Mekashaw;
Midtgård, Ole-Morten;
Völler, Steve.
(2026)
Clustering framework with integrated IEC metrics for long-term PV performance assessment in Nordic conditions.
Solar Energy
Vitenskapelig artikkel
2025
-
Zenebe, Tarikua Mekashaw;
Midtgård, Ole-Morten;
Völler, Steve;
Dimd, Berhane Darsene.
(2025)
Solar photovoltaic array short circuit fault analysis with machine learning using pre-trained convolutional neural network for feature selection.
Solar Energy Advances
Vitenskapelig artikkel
2022
-
Dimd, Berhane Darsene;
Völler, Steve;
Midtgård, Ole-Morten;
Zenebe, Tarikua Mekashaw.
(2022)
Ultra-Short-term Photovoltaic Output Power Forecasting using Deep Learning Algorithms.
IEEE Mediterranean Electrotechnical Conference
Vitenskapelig artikkel
-
Zenebe, Tarikua Mekashaw;
Kebede, Lemu;
Midtgård, Ole-Morten;
Völler, Steve.
(2022)
Performance Evaluation and Operational Faults Analysis for PV System Protection and Safety Standard Improvement.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Zenebe, Tarikua Mekashaw;
Midtgård, Ole-Morten;
Völler, Steve;
Cali, Umit.
(2022)
Machine Learning for PV System Operational Fault Analysis: Literature Review.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Tidsskriftspublikasjoner
-
Zenebe, Tarikua Mekashaw;
Midtgård, Ole-Morten;
Völler, Steve.
(2026)
Clustering framework with integrated IEC metrics for long-term PV performance assessment in Nordic conditions.
Solar Energy
Vitenskapelig artikkel
-
Zenebe, Tarikua Mekashaw;
Midtgård, Ole-Morten;
Völler, Steve;
Dimd, Berhane Darsene.
(2025)
Solar photovoltaic array short circuit fault analysis with machine learning using pre-trained convolutional neural network for feature selection.
Solar Energy Advances
Vitenskapelig artikkel
-
Dimd, Berhane Darsene;
Völler, Steve;
Midtgård, Ole-Morten;
Zenebe, Tarikua Mekashaw.
(2022)
Ultra-Short-term Photovoltaic Output Power Forecasting using Deep Learning Algorithms.
IEEE Mediterranean Electrotechnical Conference
Vitenskapelig artikkel
Del av bok/rapport
-
Zenebe, Tarikua Mekashaw;
Kebede, Lemu;
Midtgård, Ole-Morten;
Völler, Steve.
(2022)
Performance Evaluation and Operational Faults Analysis for PV System Protection and Safety Standard Improvement.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Zenebe, Tarikua Mekashaw;
Midtgård, Ole-Morten;
Völler, Steve;
Cali, Umit.
(2022)
Machine Learning for PV System Operational Fault Analysis: Literature Review.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Formidling
2023
-
PosterZenebe, Tarikua Mekashaw; Midtgård, Ole-Morten; Völler, Steve; Dimd, Berhane Darsene. (2023) Photovoltaic Array Operational Fault Analysis with Machine Learning Using Pretrained Deep Learning Models for Feature Selection. 40th European Photovoltaic Solar Energy Conference and Exhibition; Lisbon, Portugal; 18-22 September 2023 , Lisbon 18.09.2023 - 22.09.2023