D1.1 Management, communication and quality approaches, Data management and IPR protection procedures
D1.4 Data Management Plan
D2.1 Requirements on an IoT CloudEdge System for the Energy Ecosystem
D2.2 Functional Specifications of the HEDGE-IoT system
D3.1 HEDGE-IoT Interfaces and Tools for Interoperability
D3.3 HEDGE-IoT Technological Enablers (First Release)
D7.1 Communication and Dissemination Plan
D7.3 Dissemination, Exploitation and Market Exploration, Standardisation, and Community Building (First release)
Edge Offloading in Smart Grid
Deep Q-Learning-Based Smart Scheduling of EVs for Demand Response in Smart Grids
Whale Optimization for Cloud–Edge-Offloading Decision-Making for Smart Grid Services
Whale Optimization for Cloud–Edge-Offloading Decision-Making for Smart Grid Services
Making the Dataspace Protocol an international standard
Market-based Congestion Management in Power Systems : With a focus on distribution grids
⚡️ How can a campus become a catalyst for grid innovation?
In their latest article, @ArnhemsBuiten shares how they’re using #HEDGEIoT tech to unlock hidden grid capacity & accelerate energy flexibility in the Netherlands.
đź“° Read more: https://hedgeiot.eu/electricity-campus-arnhems-buiten-accelerating-grid-scale-innovation-and-unlocking-hidden-capacity-with-hedge-iot/
#HorizonEurope
📣 We’re proud to share that HEDGE-IoT is featured in the latest BRIDGE brochure – check us out on page 78! 🚀
Explore how we’re bridging edge-cloud technologies, AI, and interoperability to build a smarter, greener energy ecosystem.
đź”— https://bridge-smart-grid-storage-systems-digital-projects.ec.europa.eu/sites/default/files/download/bridge%20cooperation%20between%20horizon%202020%20and%20horizon-HZ0125038ENN.pdf
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