Pssst... Have you heard the news ?! The submission deadline for papers was extended till 22.April.2022 🤯🤯You don't believe me ?! check out our website https://t.co/OfKBXYvaPj @KITKarlsruhe@AITtomorrow2day
@BMWK
@BMKlimaschutz
@BFEenergeia@offis
Thanks again to the team of Anke Weidlich @UniFreiburg for hosting us with this year‘s 13th Doctoral Workshop on #energyinformatics at the @DACHEnInf ! It has been a pleasure to discuss so deeply on new doctoral projects in this field! #energieinformatik
Open position in beautiful Freiburg in the field of energy system analysis (focus on electricity markets, electricity grids and sector coupling). Department of Sustainable Systems Engineering, Prof. Dr. Anke Weidlich. https://t.co/UeHM3NQMoZ
The full program and the keynote speeches are now available on the website, don't forget to check them !! https://t.co/YflcRXIFPd
https://t.co/1nrzstza07
Good to see @ACM_EEnergy planning for hybrid mode with local hubs in these uncertain times. It’s the kind of leadership we need to move into more equitable, inclusive and less carbon burning gatherings for academics. In-person conferences are a thing of the past and need to go.
Third time’s a charm! This paper from @UniPassau deals with the creation of realistic models representing both, power systems and the corresponding ICT architecture. The proposed methodology can create such models using openly available data. https://t.co/rl6gzVzyY1
Another paper out of Munich from the @FfE_Muenchen. This one focuses on indicators that allow for an evaluation of the results of clustering approaches. Using multi criteria decision analysis, the authors propose an approach to combine various measures. https://t.co/KNe1Mm90Ix
And here comes a second paper out of the research group @UniPassau. They propose an approach to extract characteristics of solar PV solely from measurement data. This includes panel and inverter peak power, panel orientation, system location and more https://t.co/mOJLWifUDT
Everyone’s talking about blockchain and these researchers from @FfE_Muenchen, @unibt, @Fraunhofer_FIT and @FIMresearch put it into practice. They propose a scalable blockchain-based data platform that can be used for asset logging in the electricity sector https://t.co/AGm2GI04uB
This paper comes out of the energy informatics group at @UniPassau. The authors propose a centralized charging capacity allocation mechanism based on queuing systems that takes care of grid limitations and charging requirements of electric vehicles. https://t.co/LyT2RF6bJA
The conference also features demo abstracts. This one comes out of @offis and features a laboratory that assesses the impact of data integrity losses on the functionality of cyber-physical energy systems. Find al related information here: https://t.co/1rX4Znl7Ob
This paper comes out of @TUDarmstadt. The authors focus on heat transfer from industrial plants into district heating networks to decarbonize heat generation. They use an optimization model that is integrated into a digital twin. https://t.co/XSSmDbhGvg
Another German-Swiss collaboration! The authors from @ETH, @UniFAU and @hitachienergy minimize the peak loads of e-bus depots. The exact, offline, modular multi-variable mixed-integer linear optimization algorithm helps to optimally plan charging processes.https://t.co/uuCdS7fPFt
Moving on to our session on demand-side flexibility. The 1st paper, again out of #HSOffenburg, deals with the active participation of industry on electricity markets. The authors present a generic model library for the provision of demand side flexibility. https://t.co/36g1u7wT7F
This collaboration between Switzerland and Germany, comes from the group of @LehnhOFFIS from @offis and @UniOldenburg together with @EPFL_en and focused on socio-technical modeling using mosaik, a co-simulation tool and demod, an open-source python library https://t.co/vlP5DHA05z
Moving on further north and a further west to @RWTH. This paper analyses multi-energy systems on a municipal level. The authors consider gas, heat and electricity infrastructure and optimize the system costs while respecting a constraint emissions budget. https://t.co/oTHh5IYFw1
The next one is a collaboration between @FraunhoferISE, @uni_ulm and @Greenventories. They compare short term load forecasting techniques for various building types. They specifically differentiate between schools, residential buildings and supermarkets. https://t.co/5C3HMayh9k
Exciting new #data set:
Residential #electricity household + #heatpump load profiles.
Incl. apparent, active + reactive #power, voltage, current and power factor in 10s to 60m intervals from May 2018 to Dec 2020.
https://t.co/daSgrjQegi
Our last paper out of the machine learning session comes from the group of @AstridNiesse at @UniOldenburg. They propose reinforcement learning approaches to identify vulnerabilities in electricity systems. which helps to overcome flawed market designs. https://t.co/cpGpyozNRN