Hub Sessions
Energy Revolution Europe
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The Evolution of the TSO Role in an Increasingly Distributed and Volatile Environment
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Integrating and Optimizing Distributed Energy Resources in Utility Operations
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Debate - The Demand Response Aggregation: Opportunities, Challenges and Barriers
A face to face debate on the pros and cons of aggregation
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Sector Connection for Decarbonisation: the Flexibility Potential from Heating and Cooling Technologies
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The consumer as key resource to bridge the gap between renewables and system stability
Customers are shaping the energy system of the future by transforming into prosumers through the increase of the number of decentralized energy resources. These customers have a new focus and different needs. They impact the grid stability and our future energy supply that should be intelligently managed to integrate them efficiently in to the energy system. To allow this, utilities and device manufacturers have to meet new types of customer needs, finance the development and continuous management: new business models have to be created where all stakeholders can benefit.
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Seestadt Aspern in Vienna as an example of a future distribution grid infrastructure.
The evolution of the future infrastructure operators /DSO´s role in an increasingly distributed and volatile environment!
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Introducing Energy Flexibility
Introducing Energy Flexibility Interface (EFI)
- Next to the business value of energy flexibility, there is a strong need for flexible use of energy flexibility.
- Flexibility should be usable in different current and future scenarios; especially end-users with flexible energy-equipment must have freedom of choice to select or switch between energy service providers.
- Energy system will require changes in the way energy-flexibility is utilized. Applicable open standards for flexible utilization of flexibility will add robustness various usage scenarios.
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Success Story Cases: Advanced Analytics for a Flexible Energy System
The supply-demand balance becomes increasingly challenging to achieve and flexibility is a must have for all the actors of the grid. Higher price volatility, transition from centralized approach to a new energy system based on decentralized units combined with the digitalization and increasing data availability creates new opportunities for market and industrial players. Advanced Analytics are the value creation engines in this new era. Beyond the buzzword, this presentation aims to show concrete successful application of Machine Learning and Optimization algorithms for a Flexible Energy System.
