JA

Jake Anderson

Co-Founder & Head of Business at Anderson Optimization by PVcase

Jake Anderson has a diverse work experience, starting in 2011 with an internship at Morgan Stanley in wealth management. Jake then worked as a financial analyst intern at Ameriprise Financial Services, Inc. in 2012. In 2013, they joined General Mills as a financial analyst and remained there until 2017. Currently, since 2016, they are the co-founder and head of business at Anderson Optimization, where they specialize in renewable siting, power system analysis, and renewable energy valuation using cutting-edge technology and optimization models. Their responsibilities include valuation of power generating assets, optimization modeling and programming, large-scale root-cause analysis, and providing direction to modeling and optimization teams.

Jake Anderson earned their Bachelor of Science in Business with a major in Finance, Entrepreneurship, and Management Information Systems from the University of Minnesota, where they completed their studies from 2009 to 2013.

Location

Los Angeles, United States

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Anderson Optimization by PVcase

Anderson Optimization by PV Case provides clients with power system analysis, renewable energy valuation, and capacity expansion modeling. Leverage cutting-edge technology, including Mixed-Integer Programming (MIP) and the Cloud, to build optimization models used to operate day-ahead and real-time markets, value power system assets, and plan for the future in an uncertain economy. Services include: ✓ Valuation of power generating assets including natural gas plants, wind turbines and coal plants ✓ Optimization modeling and programming for planning, forecasting and usage of power related assets ✓ Performing large-scale, root-cause analysis on power system problems ✓ Building unique, custom models to solve pressing issues ✓ Integrating optimization solvers with existing process flows ✓ Market Modeling for long-term planning and capital investment decisions ✓ Providing direction to in-house modeling and optimization teams


Employees

11-50

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