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How to predict Energy Pricing
Unlock the power of data science
This Use Case will help data scientists and data teams better understand the market to make better-informed decisions
You'll learn how the Shapelets platform enables you to:
- Follow a step-by-step approach applicable to international energy price markets.
- Build a guidance to policymakers and market participants.
- Improve real-time decision-making.
- Integrate collaborative analytics into your organization.
- Make your mission a success with predictive insights
ABOUT THE AUTHOR
Carlos Sevilla
Data Scientist at Shapelets.
He has experience with time series models and has worked for large international companies in the energy and telecommunications sectors such as Endesa and Telefónica.
Carlos has a degree in Computer Engineering from the University of Sevilla, and he also has a master’s degree in Big Data and Data Science.
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