Musaab Mohammed Ali
University of Massachusetts Amherst
Department of Electrical and Computer Engineering
Musaab Mohammed Ali
University of Massachusetts Amherst
Department of Electrical and Computer Engineering
I am a third-year Ph.D. student in the Electrical and Computer Engineering department at the University of Massachusetts Amherst. I am a research assistant in the Systems Towards Infrastructure Measurement & Analytics (STIMA) Lab directed by Professor Jay Taneja.
Ph.D. Electrical and Computer Engineering (University of Massachusetts Amherst): September 2022 - today
M.Sc. Energy Engineering, Renewable (University of Massachusetts Lowell)
M.Sc. Electrical Engineering (North Carolina State University)
B.Sc. Electrical Engineering (North Carolina State University)
Dean’s Fellowship, University of Massachusetts Amherst, 2022
ELEVATE Fellowship, University of Massachusetts Amherst, 2022
Spaulding-Smith Fellowship, University of Massachusetts Amherst, 2022
My research interest is in the area of distributed energy generation (DEG), focusing on technologies such as solar PV, wind, and battery storage. My work involves the integration of these DEG systems into the electric grid, with a particular emphasis on both the U.S. and Sub-Saharan Africa. Beyond this, my research interest extends to understanding the potential impact of renewable energy deployment on reducing reliance on fossil fuels. I am particularly intrigued by the prospect of how such deployments could address energy shortages in Sub-Saharan Africa, contributing to sustainable and resilient energy solutions in the region.
Conducting an in-depth analysis of the potential effects of widespread adoption of electric cooking (e-Cooking) on the stability and efficiency of the electric distribution network in Nairobi, Kenya. This research involves modeling the projected increase in electricity demand due to e-Cooking and assessing the implications for grid reliability and energy sustainability. The findings aim to inform policy decisions and guide the strategic planning for future energy infrastructure developments in urban areas.
Ultra-Short-Term Forecasting of Large Distributed Solar PV Fleets Using Sparse Smart Inverter Data IEEE Transactions on sustainable energy, pp. 1-13
Han Yue; Musaab Mohammed Ali; Yuzhang Lin; Hongfu Liu
04/16/2024
Solar Development Engineer
Borrego, Lowell, MA
(Oct 2021 - Sep 2022)
Developed 5 MW grid-connected solar photovoltaic (PV) ground-mounted systems, performed site assessments, ensured adherence to regulatory requirements, managed project execution, and enhanced system designs for improved efficiency.
Engineering and Operations Intern
ACE Solar, North Andover, MA
(Sep - Dec 2020)
Created solar PV designs for both residential and commercial projects, completing over 50 installations with a total capacity exceeding 1 MW.
Performed site assessments and energy modeling to ensure precise system sizing and accurate ROI projections.
Analyzed customer quotes and optimized system designs, leading to an average ROI improvement of 10-15%.
Programming: MATLAB, Python, C/C++, SystemC
Simulation & Modeling: AutoCAD, PVWatts, PVSyst, PVcase, Helioscope
Technical Equipment: Oscilloscopes, Signal Generators, Solar PV Systems
Software & Tools: MS Office, Overleaf, Solar PV Design