- Distributed Energy Control Systems
On the 16th of March from 13:00-15:00 we kicked off with Distributed Energy Control Systems.
AI improving distributed energy control systems
The electricity supply is becoming greener with the increasing penetration of renewable energy enabled by e.g. energy storage, and a variety of other networked distributed energy resources (DERs). Integrating these DERs into the existing energy system is a challenging task. With proper decentralized energy management concepts combined and integrated with AI techniques, DERs can be aggregated into virtual power plants to replace conventional sources of generation and mitigate climate change consequences. For a successful implementation and mass rollout, AI can play a vital role in improving the accuracy or replacing part of the underlaying control models, resulting in accurate adaptive control methods that are able to track and act on changes in our energy system as the energy transition unfolds.
Big Questions:
During the round tables session on Distributed Energy Control Systems we addressed the following questions:
- How can AI be integrated in recognizing production and consumption patterns to forecast supply and demand?
- How can AI be used to improve the control of distributed energy resources?
- How can machine learning be used to improve and continually adapt control methodologies for smart grids?
- How can the state of the art of energy management and state of the art of AI be combined in the best way?
Visual result:
Do you want to know more about this session, or you see an opportunity to collaborate? Send us an email.
- Personalized eHealth
In our second 2-hour session DSI and the TechMed Centre tackled the topic of Personalized eHealth. This session took place on the 18th of March from 10:00-12:00.
AI contributing to personalized eHealth
It becomes more and more evident that the current approach to healthcare is not sustainable, especially when considering the increasing volume and demands of chronic diseases. Biological, behavioral and environmental factors influence the surge and progression of these diseases. The use of ICT in healthcare – eHealth – allows to target this challenge of diversity, for example, by providing personalized solutions adaptable to each user, and also to changes over time. Every individual, dealing with any specific condition presents a distinctly unique case, highlighting the need for Personalized eHealth Technology.
BIG QUESTIONS:
During the round tables session on Personalized eHealth addressed the following questions:
- How can combining data from a network of medical and non-medical sensors enhance holistic, personalized healthcare?
- How to define the personalized health ecosystem of the future?
- How will AI-driven personalized healthcare solutions make healthcare more sustainable, affordable and accessible?
Visual result:
Do you want to know more about this session, or you see an opportunity to collaborate? Send us an email.
- Industrial Sustainability
In our third 2-hour session we tackled the topic of Industrial Sustainability. This session took place on the 1st of April from 10:00-12:00.
AI for supporting industrial sustainability
Sustainability is one of the key challenges for industry in the future. Advancements in AI have provided manufacturing enterprises with better capabilities to forecast more accurately in terms of consumer demand, automate specific processes and improve control of production processes and systems in real time. Besides improving production output related performance indicators, those advancements also bear the potential of improving the utilization of energy and resources. This relates to e.g. data-based or simulation support methods towards improvement of production process but also to AI based alignment of energy and resource demand within companies and production networks.
Big Questions
During the round tables session on Industrial Sustainability we addressed the following questions:
- How can AI help to make manufacturing more sustainable by the streamlining of production processes with the use of less materials and energy?
- How does the adoption of a circular economy boost the sustainability of manufacturing?
- How do sustainable logistics lead to greater efficiency and reduced emissions in the manufacturing of supply chains?
- How can additive manufacturing unlock unique pathways towards sustainable manufacturing?
- How can the implementation of better maintenance measures through the use of AI, IoT and robotics reduce the energy consumption of manufacturing?
Visual result:
Do you want to know more about this session, or you see an opportunity to collaborate? Send us an email.
