12-03, 15:00–15:30 (UTC), Talk Track I
The energy sector has gained great attention in 2022 due to the current global energy crisis. Understanding which technologies and techniques are suitable for this sector is crucial to guarantee an effective transition to a future with cleaner and efficient energy sources. This talk aims to educate tech professionals interested in the applications of machine learning in the energy sectors, especially when it comes to time series analysis and forecasting. The audience is expected to have a basic understanding of data science and machine learning, and will be introduced to the concepts of time series, as well as the most common techniques utilized in the sector.
The session is planned to have the following parts:
- Introduction to the topic of energies
- Introduction to time series
- Explanation of the need of time series techniques in the energy domain
- Introduction to use cases of time series applied to the energy domain:
A. Public engagement: example of social media behavior in relation to the energy transition with NLP
B. Safety & Monitoring: examples of computer vision and geospatial analysis over time
C. Profiling consumers: example of time series analysis and unsupervised learning
D. Forecasting Supply and Demand of Energy: examples of energy consumption and production forecast and highlights on relevant techniques such as feature engineering
All examples will be explained in a high level, but still mentioning important concepts and relevant libraries to the audience to try out later on.
Previous knowledge expected
Rosana is a Senior Data Scientist in the energy sector. She transitioned to industry after a long career on academic research in Astrophysics. In her free time, she volunteers as a machine learning engineer and project manager in AI for good initiatives, working both with startups and NGOs in projects related to sustainability, among other topics. Rosana is also an advocate of inclusion in the tech, mentoring women and minorities into tech careers. She has founded the AI Wonder Girls team, which is an award winning all-female team of data scientists who get engaged in hackathons and other projects about social impact.