Opendata, web and dolomites


Making wind and solar renewables attractive for investors by boosting operational predictability and ROI

Total Cost €


EC-Contrib. €






Project "TruePower" data sheet

The following table provides information about the project.


Organization address
city: ZURICH
postcode: 8003
website: n.a.

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Switzerland [CH]
 Project website
 Total cost 71˙429 €
 EC max contribution 50˙000 € (70%)
 Programme 1. H2020-EU.3. (PRIORITY 'Societal challenges)
2. H2020-EU.2.3. (INDUSTRIAL LEADERSHIP - Innovation In SMEs)
3. H2020-EU.2.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies)
 Code Call H2020-SMEInst-2018-2020-1
 Funding Scheme SME-1
 Starting year 2019
 Duration (year-month-day) from 2019-08-01   to  2019-11-30


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    WINJI AG CH (ZURICH) coordinator 50˙000.00


 Project objective

With renewable industry moving away from fixed tariffs to market-driven pricing, plant owners are under pressure to generate revenue through various market mechanisms. At the same time, they facing various operational inefficiencies leading to lost revenue up to 10-15%. TruePower is an intelligent wind and solar asset management platform that helps renewable plant owners increase their overall revenues through improved operational efficiency and intelligent revenue strategies. TruePower collects and analyses plant raw high-resolution data (at seconds intervals) recognising even minor wind speed or sun irradiation changes allowing to identify granular optimisation opportunities which state-of-the-art tools available today are not able to deliver, working with aggregated data at 10-60 min intervals. In addition, TruePower combines continuous stream of raw asset data at an aggregated wind or solar park level with the meteorological and market data and offers actionable insights on revenue generation strategies, enabled by our proprietary machine-learning algorithms. Such revenue optimisation mechanisms are a necessary attribute of successful growth of the renewables market. In the long run, that means renewable energy can be predictable, profitable and therefore ubiquitous, helping to minimise the impact of CO2 on our planet. We are working on the development of predictive models and aggregation of plants into large portfolios in order to allow for improved dispatching schemes of available power and energy to the power market in the most efficient way. Such ‘simulation box’ module that will enable asset owners to adjust plant power production in real-time depending on the market need. WinJi developed and introduced TruePower to the European market in 2017. Today, we have 17 customers, and over 45 prospects.

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The information about "TRUEPOWER" are provided by the European Opendata Portal: CORDIS opendata.

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