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.
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.
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.
PVBAT
Renewable energies offer great flexibility to replace fossil fuels. With PVBAT you can become a “prosumer” of energy, consume and provide energy to other users with your own photovoltaic energy, storage battery and electric car charger.
The blockchain will be responsible for the administrative management and collection of energy supplied to consumers through a decentralized information and application platform, which operates transparently and securely over the Internet.
PVBAT
Renewable energies offer great flexibility to replace fossil fuels. With PVBAT you can become a “prosumer” of energy, consume and provide energy to other users with your own photovoltaic energy, storage battery and electric car charger.
The blockchain will be responsible for the administrative management and collection of energy supplied to consumers through a decentralized information and application platform, which operates transparently and securely over the Internet.
ValpoSolar
In order to predict the conditions of wind speed and direction and solar radiation, the solar and wind resource was measured every 1 minute for almost 2 years with 10 phiNet®11 measuring stations distributed in different points of the port city according to the Community Development Plan of Valparaiso. The project contemplates the training of an artificial neural network to predict the conditions of solar radiation and wind in the city.
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/
ValpoSolar
In order to predict the conditions of wind speed and direction and solar radiation, the solar and wind resource was measured every 1 minute for almost 2 years with 10 phiNet®11 measuring stations distributed in different points of the port city according to the Community Development Plan of Valparaiso. The project contemplates the training of an artificial neural network to predict the conditions of solar radiation and wind in the city
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
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/
