Industry Leadership

For the last 25 years, Marquette Energy Analytics has been serving American LDCs by providing them with an innovative natural gas forecasting solution. As the premier gas forecasting service, we help dozens of LDCs deliver natural gas to over 2 million individual customers nationwide, allowing our customers to both meet regulatory requirements and make more informed purchasing decisions every single day.


GasDay, our cloud-based flagship product, is used by decision-makers to buy over 20% of all natural gas consumed daily in the United States. We also offer best-in-class design day studies, 1-in-N Year Peak Day Condition Analysis. 

Marquette Energy Analytics is an active member of the Natural Gas Community, attending annual conferences to give talks and host round table discussions.

2020

Southern Gas Association

GasDay Users Group Meeting

2019

American Gas Association

Natural Gas Demand Forecasting 102

2019

NY Metropolitan Gas System Operations Seminar

Energy Demand Forecasting Fundamentals

2018

American Gas Association

Energy Demand Forecasting Fundamentals

2016

Southern Gas Association

Update on Prior Day Weather Sensitivity , GasDay Users Group Meeting

2014

Southern Gas Association

Behind the Scenes at GasDay, Evolution of GasDay, Weather Normalization and Use Per Customer Studies, The Winter of 2013-2014

2012

Southern Gas Association

Outlook for Economic Drivers of National Gas Demand, Risks and Mitigations for Near Design Day Forecasting in the Absence of Recent Historical Events, GasDay Users Group Meeting

2011

Southern Gas Association

Gas Demand Response to February 2011 Cold Events, Research Update, GasDay Users Group Meeting

2010

Southern Gas Association

Detrending Daily Natural Gas Demand Data Using Domain Knowledge, Detrending Daily Natural Gas Demand Data Using Domain Knowledge, GasDay Users Group Meeting

2008

Southern Gas Association

User Group Research Update, Load Duration, Surrogate Data, Design Day Study, GasDay Users Group Meeting

2007

American Gas Association

Methods for Short-Term Demand Forecasting

2005

Southern Gas Association

Forecast in the Shoulder Months Roundtable Discussion, GasDay Users Group Meeting

2019

Southern Gas Association

GasDay Users Group Meeting, Forecasting Techniques Panel, Research Update

2019

Gas Technology Institute

Peak Load Day Modeling Workshop

2018

Southern Gas Association

Data Visualization, GasDay Users Group Meeting, Utilizing Hourly Models for Gas Demand, Round Table Questions , Attribution Analysis on Gas Forecasting Models, Research Update 2018

2017

Southern Gas Association

Deep Neural Network Forecaster, Energy Demand Forecasting Fundamentals, Defining GasDay , GasDay Users Group Meeting

2015

Southern Gas Association

Research Update, Weather Normalization Techniques, New models enabled by the GasDay Web Platform, GasDay Users Group Meeting

2013

Southern Gas Association

RESEARCH UPDATE: MODELS TO FORECAST NATURAL GAS DEMAND, GasDay Users Group Meeting

2012

International Symposium on Forecasting Boston

FORECASTING NATURAL GAS DEMAND: THE ROLE OF PHYSICAL AND ECONOMIC FACTORS

2011

American Gas Association

n/a

2009

Southern Gas Association

Near Design Day, Ten Things About GasDay, GasDay Users Group Meeting

2007

Southern Gas Association

Enhanced Inputs, Surrogate data, What's new in GasDay Forecasting, GasDay Users Group Meeting

2006

Southern Gas Association

GasDay Users Group Meeting

Academic Papers

Marquette Energy Analytics has developed alongside academic researchers, and many papers have been written while developing our forecasting algorithms and techniques. These papers have been cited over 19 thousand times, another way we assist the community as industry leaders.

Papers by Dr. Ronald Brown

Dr. Brown is the founder of MEA and uses his academic knowledge and 26 years of Utility experience to lead MEA teams. In the office, he resides as the Chief Science Officer and ensures every development in MEA products meets his exceptional standard.

Papers by Dr. George Corliss

Dr. Corliss excels at developing the framework for custom studies in MEA. Examples of his work are our Heating Oil Forecaster and Measurement Scene Investigator.

Papers by Dr. Richard Povinelli

Dr. Povinelli is a professor at Marquette University who focuses his work in Machine Learning, Signal Processing, Dynamical Systems, and Chaos.