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RENERGISE Multi-vector optimization tool

The Multi-vector Optimization tool provides all interested stakeholders of future energy communities with various optimized energy system design configurations, customized components and operational guidelines to facilitate the growth of flexible networks. Such a tool will foster the transition of energy production towards a more resilient and balanced prosumer oriented system.

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RENAISSANCE paper: Implementing a just renewable energy transition: Policy advice for transposing the new European rules for renewable energy communities

1,2 – Christina E. Hoickaa
3 – Jens Lowitzsch
4 – Marie Claire Brisbois
5 – Ankit Kumar
6,7 – Luis Ramirez Camargo

1- Department of Geography, University of Victoria, Greater Victoria, Canada
2- Department of Civil Engineering, University of Victoria, Greater Victoria, Canada
3- Faculty of Business Administration and Economics, Europa Universität Viadrina, Frankfurt (Oder), Germany
4- Science Policy Research Unit (SPRU), School of Business, University of Sussex, United Kingdom
5- Department of Geography, The University of Sheffield, United Kingdom
6- Institute for Sustainable Economic Development, University of Natural Resources and Life Sciences, Vienna, Austria
7- Electric Vehicle and Energy Research Group (EVERGI), Mobility, Logistics and Automotive Technology Research Centre (MOBI), Department of Electrical Engineering and Energy Technology, Vrije Universiteit Brussel, Brussels, Belgium

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RENAISSANCE paper: Short-Term Load Forecasting in a microgrid environment: Investigating the series-specific and cross-learning forecasting methods

1- Evgenii Genov
2- Stefanos Petridis
2- Petros IIiadis
2- Nikos Nikopoulos
1- Thierry Coosemans
1- Maarten Messagie
1- Luis Ramirez Camargo

1- Electric Vehicle and Energy Research Group (EVERGI), Mobility, Logistics and Automotive Technology Research Centre (MOBI), Department of Electrical Engineering and Energy Technology, Vrije Universiteit Brussel
2- Centre for Research and Technology Hellas – CERTH

/ pdf / 1.01 Mb
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