Providing unmatched analysis, insights, and customer support

Marquette Energy Analytics helps utilities prepare for the unexpected.

America’s premier energy demand forecasting company, Marquette Energy Analytics, has been delivering accurate forecasts, accessible expertise, and reliable customer guidance for thirty years. The utilities we serve trust us to inform them about purchasing decisions, to help meet regulatory requirements, and aid in long term demand based planning. Discover how your utility can utilize Marquette Energy Analytics forecasts to improve how you manage your energy portfolio by clicking below.

Natural Gas Demand Forecasting

Our suite of Natural Gas Forecasting tools- MCast™ GasDay, MCast™ GasHour, GasMonth, and GasYear have become the industry standard for predicting natural gas demand, forecasting over 28% of the Nation’s natural gas usage.

ELECTRIC POWER DEMAND FORECASTING

Our MCast™ Power Software starts with a tried, tested, and proven mathematical foundation. Our data scientists pair that with a dynamic and wide range of advanced and constantly improving mathematical models. The evolving nature of this system ensures that our accuracy and reliability lead the pack when it comes to forecasting the constantly changing nature of electric power demand.

DESIGN DAY & LONG-RANGE DEMAND STUDIES

Our Design Day Studies and Long-Range Studies are most often used to assist utilities in appraising their infrastructure based on forecasted periods of peak demand. Our studies and delivered reports have been used in regulatory tribunals, by both supply and control groups. We also construct custom studies to help predict business success.

CONSULTING & INDIVIDUAL PREMISE FORECASTING

Our industry continues to become more complex in its requirements and demands more data to support long term business decisions. Marquette Energy Analytics is uniquely positioned to partner with utilities in tackling these new obstacles. We retain a staff of experienced industry leading experts that can weigh in on events, forecasts, regulatory tribunals, or any individual request dealing with forecasting demand.

Additional to consulting, we now offer forecasting by premise, or leveled forecasting, to further help utilities navigate this constantly changing landscape.

Insight and Accuracy

Put us to the test. Request a free trial and discover why Marquette Energy Analytics is the nation’s premier energy demand forecaster.

Our flagship SaaS product, MCast GasDay, forecasts RCI gas demand for more than 25% of the United States. How does it compare to your current forecasting? We challenge you to run our software against your current forecasting solution, at no charge.

Our Customers Include:

31 years of serving U.S. utilities

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28% of all US natural gas use is forecast by Marquette Energy Analytics

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Our forecasts are used by utilities to help serve over 28 million customers

Our Team

A Wealth of Experience and Dedication

In 1993, we began working as the GasDay Energy Demand Research Laboratory at Marquette University in Milwaukee, WI. Now, thirty-one years later, we have become Marquette Energy Analytics. We have established ourselves as thee national leader in energy demand modeling, forecasting, and analytics services. Meet the team leading the nation’s premier energy demand forecasting service.

Thomas Quinn

CHIEF EXECUTIVE OFFICER

Thomas Quinn is Chief Executive Officer of Marquette Energy Analytics, LLC. In 2004, Quinn joined the GasDay Project at Marquette University as Business Director. Under his leadership, fourteen years later, Quinn transformed the research lab to an independent business, and in 2018 became the CEO of the private, agile, and scalable national leader Marquette Energy Analytics, LLC.

Dr. Ronald Brown

Chief science officer

Dr. Ronald Brown is Chief Science Officer of Marquette Energy Analytics, LLC. Dr. Brown founded the company’s predecessor, Marquette University’s GasDay Energy Demand Research Laboratory in 1993, to support some of the very first academic research into energy demand forecasting.

Dr. George Corliss

Senior Scientist

Dr. George Corliss is the Senior Scientist of Marquette Energy Analytics, LLC. Dr. Corliss joined the GasDay lab in 2003, also as the Senior Scientist, and since has specialized in mentoring graduate students and developing custom solutions for complex problems.

Tom Kovalak

Director of sales and marketing

Tom Kovalak is Marquette Energy Analytics, LLC’s Director of Sales and Marketing. Tom has more than 38 years of experience in the utility and energy industry with a focus on sales, business development, and large account management. His career has taken him all over the US and allowed him to work for investor-owned, municipal, and cooperative utilities, as well as energy efficiency and DSM product and services providers.

Sarah Graupman

DIRECTOR OF OPERATIONS

Sarah Graupman is the Director of Operations at Marquette Energy Analytics, LLC. Graupman began as a Data Analyst for the GasDay Lab in 2015. She held various roles while working at the GasDay lab, including Product Manager, and Product owner of GasDay. In these roles, she led the development of the GasDay Product’s transition to an Azure-based SaaS web platform (now the MCast™ SaaS solution).

Greg Merkel

Data team leader

Greg Merkel is the Data Team Leader at Marquette Energy Analytics, LLC. Merkel started work at Marquette’s GasDay Lab as a Research Assistant in 2013 and spent five years pushing the boundaries of Demand Modeling and Mathematical Demand Modeling under the tutelage of Dr. Richard Povinelli, and Dr. Ron Brown. In these years, he developed the beginnings of what has become MCast™ Power, our Electric Power Forecasting Solution.

Nathan Wilson

Lead Product Software Developer

Nathan Wilson is Marquette Energy Analytics, LLC’s Software Development Lead. Wilson started working with the GasDay Lab in 2008 and quickly became the Software Team Lead. Under his leadership, the Software Development Team grew to a substantial force of coders, who skillfully and professionally worked to constantly improve existing software while expanding the software suite and improving both front-end and back-end processes.