Vis Viva
Energy Economics Consulting
services
Energy
Modeling
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Scenario analysis with SimpFlex, a linear optimization forecasting model of any electricity generation and transmission system with up to hourly resolution.
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In-house Stochastic Electricity Forecasting (SEF) model, using novel economic choice algorithms.
Data
analysis
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Custom python-based data analysis tools and scripts
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Data visualization with Bokeh.
Statistical
Analysis
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Statistical analysis with JMP, SAS, and R.
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Design of experiments and optimization methods.
Team
Matt Mowers
Matt has 7 years experience as an energy analysis engineer. He helped develop the ReEDS model at the National Renewable Energy Laboratory, adding utility-scale photovoltaics to the model and leading ReEDS development and modelling for the Sunshot Vision Study. He is currently active in development of the model and associated Python visualization and data processing scripts. In addition, Matt is a web engineer and creator of a javascript-based A/B testing tool
See Matt's list of publications.
Ronald Mowers
Ron has 40+ years in the field of statistics, including consulting to agricultural, medical, and energy researchers. He specializes in JMP, SAS, and R-based statistical analysis. At Syngenta AG, he implemented novel doubled haploid technology for maize to drastically reduce time to produce purebred maize lines.
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See Ron's list of publications.
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Joe Mowers
Joe specializes in Tableau-based data visualization, Python-based data analysis, and policy design. Prior to his work at Vis Viva, he spent 5+ years as a registered nurse and was a senior policy advisor for the Iowa state government.