Danial Pakar | M.Sc. Power Systems Engineer

Danial Pakar

M.Sc. in Power Systems Engineering

Summary

Power Systems & Renewable Energy Engineer with strong experience in PV–battery modeling, AI-based forecasting, and smart energy management. Skilled in NARX neural networks, PV performance simulation (PVsyst), and data-driven optimization using MATLAB. Specialized in BMS concepts, EV charging integration, and intelligent control of distributed renewable systems. Motivated to develop advanced forecasting, optimization, and real-time operation tools for next-generation PV, battery, and e-mobility applications.

Experience

Designer

Jahad-e Daneshgahi, University of Science and Technology (JDEVS)

Jan 2025 – Present

  • Designed on-grid and off-grid photovoltaic systems using AutoCAD and PVsyst.
  • Performed loss and performance ratio analyses to optimize PV system efficiency and reliability.
  • Conducted battery and charger sizing using SAFT software as part of a comprehensive UPS system study.
  • Completed a three-month professional training in UPS marketing and technical sales, focusing on renewable energy applications.

Trainee, As Power Systems Engineer

Islamic Republic of Iran Broadcasting (IRIB)

Jun 2022 – Sep 2022

  • Acquired hands-on experience in industrial electrical systems, including fire alarm installation, panel construction, diesel generator operation, and cable termination.
  • Gained practical knowledge of electrical tools, maintenance procedures, and industrial power distribution setups.
  • Supported technical teams in preventive maintenance and troubleshooting across multiple electrical installations.

Education

Master’s Degree, Power Systems

Islamic Azad University, Science And Research Branch

2023 – 2025 | Thesis: Short-Term Forecasting of PV Output and Battery State of Charge Using Artificial Neural Networks (ANNs) | Thesis Grade: 19/20 | GPA: (15.31 Out of 20) or (3.06 Out of 4)

Bachelor’s Degree, Electrical Engineering

Islamic Azad University, West Tehran Branch

2018 – 2022 | GPA: (16.47 Out of 20) or (3.3 Out of 4)

Skills

Technical Skills

PVsyst MATLAB Python COMFAR AutoCAD Electrical RETScreen DIgSILENT

Research & Analytical

Renewable energy forecasting Energy system modeling Optimization AI/ML for energy prediction

Professional & Interpersonal

Scientific writing Project teamwork Technical reporting Interdisciplinary collaboration

Projects

Jahad-e Daneshgahi, University of Science and Technology (JDEVS) (5 kW)
Abyek, Ghazvin (10 kW)
Behesht-e-Zahra PV Plant, Tehran (200 kW)
Mahallati PV Plant, Tehran (1.02 MW)
PiranShahr Rooftop PV (5 kW)
Hybrid Wind-Solar Plant Design
Economic Evaluation of a Small Ice Cream Workshop – COMFAR

Certifications

Diploma in Solar Energy Engineering
Fundamentals of Solar Radiation and Solar Cells
Renewable Energy Management
Solar Technology and Its Use Worldwide
Comprehensive Python Programming
PLC Programming and Automation
Industrial Power Plant Drafting with AutoCAD & AutoCAD Electrical (3D)
Distributed Solar Plant Design & Grid Connection (DIgsilent)
PV System Design with PVSyst and RETScreen
Advanced MATLAB
Economic Evaluation with COMFAR
Academic Essay Writing
PSPICE Workshop
PV Design with PVSyst & SketchUp

Publications

Mozaffari, B., & Pakar, D.

Short-Term Forecasting of PV Output and Battery State of Charge Using Artificial Neural Networks (ANNs).

In preparation. (Based on M.Sc. Thesis; primary draft stage).

Pakar, D., & Ebrahimi, A.

A Comparative Deep Learning Framework Using PatchTST and LSTM Models for Long-Term Solar Power Forecasting in Iran.

In preparation. (Extended journal version of ICECME 2025 paper).

Pakar, D., & Ebrahimi, A. (2025).

“Evaluation of PatchTST and LSTM Deep Learning Models for Long-Term Solar Power Forecasting in Iran.”

Proceedings of the 11th International Conference on Electrical, Computer and Mechanical Engineering (ICECME), Tehran. (Presented in Persian).

Research Interests

  • Renewable energy forecasting (PV output, battery SOC) using AI/ML
  • Energy system optimization
  • Solar power integration in EV charging infrastructure
  • Photovoltaic system design and performance optimization—Experienced in modeling, loss analysis, and performance evaluation using PVsyst

Honors & Awards

  • Ranked 3rd among undergraduate students, Faculty of Electrical Engineering – Sep 2022
  • Recognized as Top Student for four consecutive semesters – Sep 2020 to Jun 2022

Voluntary Activities

  • Main member of the Scientific Society of Electrical Engineering, Islamic Azad University, Tehran West Branch – Aug 2020 to Dec 2022
  • Executive team member of the “Second Step” event, supervised by the Young Researchers and Elites Club – Mar 2022
  • Member, IEEE Power Electronics Society – Dec 2020 to 2021
  • Member, IEEE Iran Section – Dec 2020
  • Developed a Telegram bot for the Electrical Engineering Faculty – Dec 2020

Languages

Persian – Native English – Upper-Intermediate, IELTS in preparation, target 6.5+

References

Dr. Seyed Babak Mozafari

Professor, Department of Electrical Engineering

Islamic Azad University, Science and Research Branch, Tehran, Iran
M.Sc. Thesis Supervisor – Power Systems
Email: mozafari_babak@yahoo.com

Dr. Majid Kalantari

Assistant Professor

Islamic Azad University West Tehran Branch
Email: Eng.m.klt@gmail.com

Eng. Ali Khodadadi

Project Manager

Jahad-e Daneshgahi, University of Science and Technology (JDEVS)
Direct Supervisor during photovoltaic system design and analysis projects
Email: a.khodadadi@jdevspower.com