DECARBONIZING WATER DESALINATION BY OPTIMIZING RENEWABLE ENERGY AND BATTERY STORAGE USING OPTIMIZATION ALGORITHMS
Summary
conference-paper
About
Om Sanan is an undergraduate at Caltech pursuing Computer Science, Electrical Engineering, and Business, Economics & Management. He has published eight research papers spanning AI, machine learning, and quantitative modeling, with applications in finance, climate science, and space research. Om has held research roles at the Anima AI Lab at Caltech, MIT’s Global Engineering and Research Lab, NASA SEES, and the National Renewable Energy Laboratory. He has also worked as an Investment Analyst at Link Growth Capital Partners, developing financial models and forecasting strategies for equities and crypto. A USACO Platinum competitor with expertise in Python, Java, C++, and statistical modeling, Om is passionate about applying advanced computational methods to quantitative finance, systematic trading, and data-driven decision-making.
Work
Day Zero Water
US
Massachusetts Institute of Technology
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US
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Education
California Institute of Technology
United States of America
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Bachelors
Publications
Forecasting Weather and Energy Demand for Optimization of Renewable Energy and Energy Storage Systems for Water Desalination
Published by
2024 IEEE Conference on Technologies for Sustainability (SusTech)
Summary
conference-paper
Towards Data-Driven Methods for Decarbonizing Reverse Osmosis Desalination
Published by
2023 IEEE MIT Undergraduate Research Technology Conference (URTC)
Summary
conference-paper