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Berhane Darsene Dimd

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Berhane Darsene Dimd

PhD Candidate
Department of electric energy

berhane.d.dimd@ntnu.no
+4796655027 Elektro E/F, Gløshaugen
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About Research Publications

About

I am an electric power engineer, and especially interested in renewable energy technologies. I received a BSc degree in Electrical Engineering from Hawassa University - Ethiopia in 2011, and an MSc degree in Electric Power Engineering from the Norwegian University of Science and Technology (NTNU) in 2015. I worked on my MSc thesis (Power Converters as Smart Instruments and Actuators in a Smarter Grid) under the supervision of Ole-Morten Midtgård (Professor). I am currently working towards my Ph.D. degree in 'Digital Solar Electricity: The Role of Machine Learning, Artificial Intelligence, and Energy Optimization' under the supervision of Steve Völler (Associate Professor) and Ole-Morten Midtgård (Professor).

Research Interests:

  • Renewable energy
  • Solar energy technology
  • Artificial Intelligence and Machine Learning
  • Energy optimization
  • Smart grid

https://www.linkedin.com/in/berhane-dimd-76b6b5b1

Research

  • Power System Operation and Analysis – PSOA

Publications

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  • See all publications in Cristin

2022

  • Dimd, Berhane Darsene; Völler, Steve; Cali, Umit; Midtgård, Ole-Morten. (2022) A Review of Machine Learning-Based Photovoltaic Output Power Forecasting: Nordic Context. IEEE Access. volum 10.
    Academic literature review
  • 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

Journal publications

  • Dimd, Berhane Darsene; Völler, Steve; Cali, Umit; Midtgård, Ole-Morten. (2022) A Review of Machine Learning-Based Photovoltaic Output Power Forecasting: Nordic Context. IEEE Access. volum 10.
    Academic literature review
  • 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
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