Blockchain & AI

Applied to energy systems

Blockchain & AI

Applied to energy systems

Blockchain applications and artificial intelligence developed in products and services

GTIME the energy blockchain

GTIME is an energy traceability system based on the blockchain technology, which certifies and verifies in real time the origin of the energy generated through renewable sources. The information is collected through specialized hardware in the same place as the generation, and then mined in a chain of blocks in a decentralized network of devices, for use in certifications, smart PPAs and energy management tools.

https://gtime.io

GTIME the energy blockchain

GTIME is an energy traceability system based on the blockchain technology, which certifies and verifies in real time the origin of the energy generated through renewable sources. The information is collected through specialized hardware in the same place as the generation, and then mined in a chain of blocks in a decentralized network of devices, for use in certifications, smart PPAs and energy management tools.

https://gtime.io

Sello Sol blockchain platform

Sello Sol is a certification that allows tracing the solar energy generation on its place of origin through the use of blockchain technology. The data is measured and processed to add value by using it in products, services and transactions as verifiable, transparent and secure information. The blockchain methodology has been tested by companies and public institutions and is growing in Latin America for the world.

https://www.sellosol.com

ValpoSolar

With the idea of ​​extracting solar / wind information from the area, the ValpoSolar program contemplated the installation of 10 phiNet®11 measuring stations distributed in different points of the port city according to the Valparaiso Community Development Plan. The project includes the training of an artificial neural network to predict the conditions of solar radiation and wind in the city

http://www.valparaisolar.cl/mediciones/

ValpoSolar

With the idea of ​​extracting solar / wind information from the area, the ValpoSolar program contemplated the installation of 10 phiNet®11 measuring stations distributed in different points of the port city according to the Valparaiso Community Development Plan. The project includes the training of an artificial neural network to predict the conditions of solar radiation and wind in the city

http://www.valparaisolar.cl/mediciones/

Recognition of images through artificial neural networks

kettu® is a high-speed data processing unit that helps to drive the vehicles and manage the use of battery power in electric mobility systems

https://www.solarrobotics.com/kettu/

Artificial neural networks for the prediction of solar resource

Solar calculator developed for the advanced study of the solar resource. It uses information provided by the phiNet® stations and data from SolarGIS. An artificial neural network trained with the data of the measurements of the strains located in different districts of Chile is incorporated. The model is currently in development.

https://www.phinet.cl/es/calculadorasolar/

Artificial neural networks for the prediction of solar resource

Solar calculator developed for the advanced study of the solar resource. It uses information provided by the phiNet® stations and data from SolarGIS. An artificial neural network trained with the data of the measurements of the strains located in different districts of Chile is incorporated. The model is currently in development.

https://www.phinet.cl/es/calculadorasolar/

Pin It on Pinterest

Share This