| 17-10-2023 |
Machine learning to forecast heat waves
Heat waves occur every time more frequently and are more intense in Chile due to global warming. These extreme weather events have a severe impact on public health, the industry, and agronomy. Preparing for heat waves requires skillful prediction of when they occur and how intense they will be. This project involves the design of artificial intelligence algorithms based on machine learning to predict the likelihood of heat waves in Chile. The activities include collecting data from open sources, the design of mathematical algorithms, and programming in Python
Keywords:
machine learning
cambio climatico
Prerequisites:
IIC1103
Evaluation method: Nota 1-7, with 0/2 available vacants |
Mentor(s): Open in the plataform |
| 16-03-2023 |
Prerequisites:
None.
Evaluation method: Nota 1-7, with 0/1 available vacants |
Mentor(s): Open in the plataform |
| 19-07-2022 |
Prerequisites:
None.
Evaluation method: Nota 1-7, with 0/5 available vacants |
Mentor(s): Open in the plataform |
| 19-07-2022 |
Prerequisites:
None.
Evaluation method: Nota 1-7, with 0/2 available vacants |
Mentor(s): Open in the plataform |
| 23-11-2018 |
Decarbonization of the elctricity generation in Chile
The commitments taken by Chile in the Paris Convention of 2015 will imply a significant reduction of greenhouse gas emissions, in particular of carbon emissions. The research consists in determining the carbon emissions reductions in the generation sector, the costs of these reductions and the equivalent price of carbon. The study should identify the different cost-efficient mechanisms available to the country in order to reduce emissions, in particular, the availability of renewable resources, and imports of natural gas from Argentina. The study will use an existing programing of a computational model of the Chilean electricity system, and that will be improved for the purposes of the study.
Prerequisites:
None.
Evaluation method: Nota 1-7, with 0/2 available vacants |
Mentor(s): Open in the plataform |