Full program
Full program:
PART 1: ESG – What is it, what are the implications, how do you get on board?
09.30 - 10.00 | Registration and Coffee | |
10.00 - 10.15 |
Welcome and introduction by DIKU |
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10.00 -10.15 |
Funding Programmes offered by Energy Cluster Denmark |
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10.15 – 10.30 |
ESG trends, CSRD and key implications for corporates As an outcome of participation we would be looking for:
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10.30 – 10.45 | Tracking the value of green electricity |
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10.45 – 11.05 | Total resource accounting for transparent carbon emission reporting – presentation and pitch of Videnbro project | ![]() |
11.05 - 11.20 | BREAK |
PART 2: Energy Sector Coupling and data sharing is on the agenda
– where are we heading – how can Danish companies contribute, how can research contribute?
11.20-11.35 |
Two cases on use of energy data and ML for optimizationPredicting Optimal Temperature in the Transmission System (CTR);Data-driven solution for detecting challenges in transmission system, Kredsløb |
![]() Bo Stig, CCO & Lead Engineer, Neurospace.IO |
11.35-11.50 |
Decentral and secure data sharing in the energy sector The session includes insights into why data sharing – and particularly secure and decentralised data sharing – is becoming increasingly necessary in the energy sector if we are to reach the goal of the green transition. In particular, Lea will present the actions – known as data spaces – that are being carried out in the EU to create a new interoperable and secure data sharing infrastructure in the EU. |
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11.50-12.05 | Tracking Scope1/Scope 2 emissions for computational pipelines/data centers with tools like Carbontracker | ![]() |
12.05-12.20 | Online and Reinforcement Learning for Energy Sector Coupling | Yevgeny Seldin, Professor and Head of Section ML, DIKU |
12.20-12.40 | Panel discussion and Q&A | Moderated by Anders Pall Skött |
12.40-13.30 | Lunch, networking / discussing collaboration |