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mP Energy Use Cases

Nothing is more convincing than for a user to report on their own use and experience with mP Energy. Such Use Cases offer various examples of how Users have commissioned and applied mP Energy for improving and/or expanding their forecasting operation, all with the ultimate objective of producing better and more accurate forecasts. Describing how mP Energy has helped to meet regulatory demands by accelerating, automating and simplifying the forecast process. Including examples of how the various mP Energy Options have been applied for achieving better forecast results for Industrial customers or for automating load profile analysis to expedite and improve the bid process for winning new customers. All of this and numerous other topics can be found in the mP Energy Use Cases, which metalogic continues to produce with its users.

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GASAG – Use Case

Minimizing Balance Energy Costs thanks to accurate forecasting

Mr. Dominik Schmidt, Department Head for Energy Trading and Optimization at GASAG, Berlin, explains in this interview how mP Energy has enabled the GASAG to significantly reduce their costs associated with Energy Balancing through improved accurate forecasting.

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WINGAS Fully Automates Forecasting

Learn from this Case Study how WINGAS automated their proposal and forecasting system with the help of meta Assessment and metaScript Master.

“The entire Forecast operation enjoys a very high-level acceptance within our firm because the results we produce flow into other core processes”, explains Mari Plümacher, Head of Forecast Management at WINGAS. “Furthermore, we are facing the situation that the market has become extremely transparent due to the wealth of data that has been made available by the market players within the course of liberalisation. At the same time, the growing pressure on margins has to be compensated by ever- improving efficiency in the back-end processes.“

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GASCADE – Reliable Forecasts for a reliable Gas Transmission

With a Pipeline Network of about 2,400 Kilometer, the GASCADE Gastransport GmbH is one of the leading TSO network operators in Germany and Europe. Get to know in this case study how mP Energy takes care of the availability of the right amount of natural gas and keeping the costs low by minimizing the machine abrasion.

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GVS – Applying optimized Forecasts to Balancing Group Management

In this new case study, you can find out, how GasVersorgung Süddeutschland (GVS) located in Stuttgart optimized with the integration of mP Energy to GAS-X of Steria Mummert Consulting the Balancing Group Management and all attached processes.

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LINZ AG – Streamlining Grid Forecasting

The Upper Austrian LINZ AG is a municipal energy provider for the greater LINZ Region for natural gas, electricity and district heating. In the interview with Mr. Helmut Krieger, from the Department of IT for Energy Applications, and Supervisor for the consolidation of Grid Forecasting for these three types of Energy, he explained how LINZ was able to fulfill all forecast demands with mP Energy thus enabling them to replace all previous tools.

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Gas-Union – Great Savings Through Accurate Forecasting

The Frankfurter Gas Trading Company Gas-Union achieves great savings through accurate forecasts with mP Energy. Read in this new case study how Marc-Peter Malerius, responsible for demand forecasting at Gas-Union, reports about the integration of mP Energy in existing systems and the multiple forecasting requirements within the company.

”For us the investment in the forecasting solution was amortised very quickly,” Malerius says in conclusion. ”First of all there are the savings we incurred by minimising balance energy, a highly crucial factor. Secondly, we now have a highly functional tool available to us within the scope of balancing group management, which we are able to use and deploy as part of additional service for our customers.”

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WINGAS – Individual Forecasts for Complex (RLM) Load Profiles

In an extensive interview, Mrs. Mari Plümacher, Head of Forecasting at WINGAS Trading, a partially owned subsidiary of Gazprom, answered questions about market demands on forecasting and how mP Energy and metaScript Master help her team to produce over a thousand forecasts a day.

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