Tarikua Mekashaw Zenebe
About
I am always keen to know more about renewable energy, especially solar energy. As a result, currently I am a PhD candidate, working on "Data Driven Approach for PV Operational Fault Analysis" for the purpose of enhancing PV performance. I got my master’s degree in renewable energy at University of Oldenburg, Germany. I did my BSc. degree in electrical power engineering at Addis Ababa Institute of Technology in Ethiopia.
Research interests
- Renewable energy
- Solar PV system operation and maintenance
- Solar PV reliability and safety: Fault prognosis and diagnosis
- Data-driven methods (Artificial Intelligence, Machine Learning, Deep Learning)
- Agrivoltaic
Publications
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
Academic article
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
Academic article
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
Academic article
-
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.
Academic chapter
-
Zenebe, Tarikua Mekashaw;
Midtgård, Ole-Morten;
Völler, Steve;
Cali, Umit.
(2022)
Machine Learning for PV System Operational Fault Analysis: Literature Review.
Academic chapter
Journal publications
-
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
Academic article
-
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
Academic article
-
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
Academic article
Part of book/report
-
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.
Academic chapter
-
Zenebe, Tarikua Mekashaw;
Midtgård, Ole-Morten;
Völler, Steve;
Cali, Umit.
(2022)
Machine Learning for PV System Operational Fault Analysis: Literature Review.
Academic chapter
Teaching
Outreach
2023
-
Conference 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