Data Science Tools Applied to the Energy Sector
summary
Presentation explains how data science and Big Data technologies can improve multiple processes in the electricity/energy sector. It covers concrete challenges faced by energy companies and the latest tools and approaches used to solve them, presented from practical work in predictive analytics for health and energy.
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chapters (20)
- 0:00Introduction
- 0:41Data as new oil
- 3:08Big data's 5 Vs
- 5:15Descriptive vs predictive analytics
- 7:43Prediction algorithm types
- 11:17Key data science tech
- 14:10Data infrastructure
- 17:26Analysis and visualization platforms
- 20:41Programming languages for data
- 25:35Machine learning and deep learning
- 27:25Neural networks applications
- 32:05Data science in energy sector
- 36:43Electricity market flow
- 38:52Energy generation prediction
- 40:38Predictive maintenance in renewables
- 41:42Fraud detection in electricity
- 43:51Long-term energy consumption prediction
- 45:14Model development process
- 46:43About us
- 49:13Q&A
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