February-March 2020

Dear reader,

I am pleased to introduce the first Smart4RES newsletter. Smart4RES started in November 2019 and we are really excited to work on this challenging topic and to substantially improve the entire model and value chain in renewable energy prediction. Smart4RES will prepare a newsletter on a quarterly basis to inform interested people on the progress of our project and on other connected developments. You can subscribe to receive the newsletters automatically. Of course we very much appreciate when you forward our newsletter to other colleagues.
In this first newsletter you will find a brief presentation of the project and its partners. We also present our first Stakeholder survey and how you can join our community. Finally, you will find a list of upcoming events where you would be able to meet us.
I would like to invite you to visit our website , which gives further details on the Smart4RES project.

On behalf of the Smart4RES consortium,
Georges Kariniotakis, Coordinator of Smart4RES.

Visit the Smart4RES website
Watch out the Smart4RES Video
Supported by the European Union’s Horizon 2020 research and innovation programme, the Smart4RES project aims to develop a new generation of short-term forecasting models for the production of renewable energy with the aim of facilitating their large-scale integration into power systems and electricity markets.
Watch out the interview of Georges Kariniotakis to learn more.
Smart4RES in a Nutshell
High-resolution forecasting approaches
Smart4RES concentrates on novel developments towards very high-resolution and dedicated weather forecasting solutions. It makes optimal use of varied and distributed sources of data e.g. Numerical Weather Predictions, remote sensing (sky imagers, satellites, etc), power and meteorological measurements, as well as high-resolution weather forecasts, to yield high-quality and seamless approaches to RES forecasting.
Data markets & collaborative forecasting
The project accommodates the fact that all these sources of data are distributed geographically and in terms of ownership, with current restrictions preventing sharing. Novel alternative approaches are to be developed and evaluated to reach optimal forecast accuracy in that context, including distributed and privacy-preserving learning and forecasting methods, as well as the advent of platform-enabled data-markets, with associated pricing strategies.
Decision-aid strategies to optimize renewable value in energy systems
 Smart4RES places a strong emphasis on maximizing the value from the use of forecasts in applications through advanced decision making and optimization approaches. Focus is on developing models for applications involving storage, the provision of ancillary services, as well as market participation.
The Smart4RES Team
Led by ARMINES—Mines ParisTech, the project gathers 12 partners from 6 European countries, with a recognised leadership along the modelling and forecasting ecosystem.
  • ARMINES, the Association for the Research and Development of Methods and Industrial Processes
  • INESC TEC, the Engineering Institute on Systems, Technologies and Sciences
  • ICCS, the Institue of Communication and Computer Systems
  • DLR, the German Aerospace Center
  • EDP CNET, the EDP New R&D Centre for New Energy Technologies SA
  • EMSYS,Energy & Meteo Systems GmbH
  • Whiffle,Weather Finecasting
  • Météo France, the French national weather organization
  • DTU, the Technical University of Denmark
  • DNV GL, a Global quality assurance and risk management company
  • HEDNO, the Hellenic Electricity Distribution Network Operator S.A
  • DOWEL Management, an Innovation management and funding consulting company
Visit the project website to learn more about the Smart4RES consortium and their activities.

Participate to our Stakeholder survey!

The identification of innovative use cases and new forecasting products in WP1 necessitates to gather the experience of stakeholders on the use of forecasts and forecast-based decision-aid tools, as well as their opinion on more advanced solutions foreseen within Smart4RES.
Interviews with stakeholders aim at identifying needs, frustrations, expected performance levels of actors of power systems with respect to RES forecasting and decision-aid solutions.

Willing to share your experience? Join the Smart4RES stakeholder community by contacting us at or on Linkedin and subscribe to our Newsletter.



Upcoming Events

Smart4RES public workshop on RES forecasting and related decision-aid tools, June 3rd, Paris
Held on June 3rd in Paris, this public workshop will present the synthesis of the stakeholder survey about forecasting requirements for existing and new use cases as well as the National grid codes and EU electricity network code requirements and guidelines. The expected performance by end-users for each business process will be addressed.
To register to the event, click here.

Smart4RES side event during the XXI Power Systems Computation Conference, 29 June , Porto

Joining the XXI Power Systems Computation Conference in Porto?
You are invited to meet our team during the Smart4RES side-event to be held in the Faculty of Engineering - Porto University on June, 29th.
The event program will be available soon, stay tuned!
To register to the event, click here.
You can also meet the Smart4RES team, attending the following events
  • Atmospheric Modelling Workshop, 9-13 March, Toulouse
  • European Geosciences Union (EGU) General Assembly 2020, 3-8 May, Vienna
  • 6 Fachtagung Energiemeteorologie, 5-7 May, Grainau
  • Torque 2020, 27-29 May, Delft
  • Using ECMWF's Forecasts (UEF) 2020, 1-4 June, Reading
Looking for some articles? Find-out our recommendations
DTU - Technical University of Denmark and METEO FRANCE have recently published new scientific articles about:
Copyright © 2020 Smart4RES H2020 project, All rights reserved.

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