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Sustainable Energy

Vis Viva

Energy Economics Consulting

Wind Turbines

services

Energy

Modeling

  • Scenario analysis with SimpFlex, a linear optimization forecasting model of any electricity generation and transmission system with up to hourly resolution.

  • In-house Stochastic Electricity Forecasting (SEF) model, using novel economic choice algorithms.

Data

analysis

  • Custom python-based data analysis tools and scripts

  • Data visualization with Bokeh.

Statistical

Analysis

  • Statistical analysis with JMP, SAS, and R.

  • Design of experiments and optimization methods.

Services
Sillouette of Wind Turbine

Team

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Matt Mowers

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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.

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Ronald Mowers

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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.

See Ron's list of publications.

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Joe Mowers

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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.

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Team
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