Energy for Development aims to improve the quality of life of high Andean communities through solar heating systems designed using machine learning, capable of predicting solar radiation to optimize the heating system and achieve thermal comfort inside the houses.
Communities living at more than 3,000 m.a.s.l. must endure extreme conditions during cold seasons, causing the death of children and the elderly and lack of food, in addition to providing inadequate housing conditions.
Prediction
The AI algorithms enabled the design of a solar heating system 36.96 times more economical than a conventional one. It can also prevent 3,985.2 kg of CO2 emissions per year.
The AI project involves the inclusion of the communities and inputs to design optimal heating systems.
High Andean communities of Peru
7 (affordable and clean energy)
Internally
Sustainable Energy Access
Volunteers and communities
50%
En este documento se abordan los impactos de la inteligencia artificial en la educación
This self-assessment tool is designed to allow the mitigation of ethical risks associated with the use/application of new technologies. It is available so that the ethical performance of each system can be evaluated from the beginning.
The Regional Landscape and 12 Country Snapshots