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@kabitrichattopadhyay
Energy Data & Meteorology Analyst with expertise in renewable systems.
I am an accomplished Energy Data & Meteorology Analyst with extensive experience in simulation, optimization, and forecasting of energy systems. My work focuses on enhancing solar PV power forecasting accuracy and integrating renewable energy sources into grid operations. I have a proven track record in multi-horizon probabilistic forecasting and energy market analysis, which has enabled me to optimize generation mix for grid stability.
Throughout my career, I have developed cost-efficient energy storage solutions and designed smart grid systems with a strong emphasis on sustainability. My technical writing and peer-reviewed journal contributions reflect my commitment to advancing the field. I am proficient in utilizing machine learning techniques to improve system efficiency and operational sustainability, and I am multilingual, which enhances my ability to engage with diverse stakeholders.
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Work history, roles, and key accomplishments
University of Central Florida
Nov 2022 - Dec 2023 (1 year 1 month)
Enhanced solar PV power forecasting accuracy through advanced statistical models and optimized renewable energy integration. Conducted market analysis to improve grid efficiency and reliability, supporting sustainable energy solutions with innovative microgrid designs.
Technical University of Denmark
Nov 2017 - Mar 2020 (2 years 4 months)
Developed computational models for energy storage strategies and created a Python-based tool for operational planning. Integrated electricity price forecasts into simulations to enhance market adaptability and operational sustainability.
Carl von Ossietzky University
Feb 2013 - Jul 2017 (4 years 5 months)
Refined grid integration strategies for solar energy, enhancing forecasting accuracy and operational efficiency. Developed algorithms for cloud retrieval and optimized solar deployment strategies to ensure grid stability.
Max Planck Institute for Chemistry
Jan 2012 - Jan 2013 (1 year)
Conducted studies on aerosol transport and improved long-range transport modeling through code development. Validated model performance against measurement data, enhancing environmental and climate modeling capabilities.
Physical Research Laboratory
Jul 2009 - Dec 2011 (2 years 5 months)
Delivered meteorology courses and supervised renewable energy projects, utilizing active learning methods to engage students and enhance understanding of complex topics.
Degrees, certifications, and relevant coursework
PhD, Renewable Energy
2013 - 2017
Conducted research on renewable energy, focusing on grid integration strategies for fluctuating solar energy and enhancing solar forecasting accuracy through algorithm refinement.
MSc, Atmospheric Sciences
2007 - 2009
Studied atmospheric sciences, gaining foundational knowledge in meteorology and its applications in energy systems.
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