PyData @ Dexter Energy: Intelligent Energy Charged Through Machine Learning

About
It’s been a while since the PyData Amsterdam 2023 conference, so it’s definitely meetup time again! This time hosted by Dexter Energy in their beautiful office close to the Amstel and the Overamstel metro station on November 16th at 18:00. During this meetup you’ll hear about how to apply machine learning to build great wind power forecasts and to intelligently charge electric vehicles. As you’re used to, we’ll have drinks and bites to start and after both talks there’s time to network and socialise!

We’re excited for the first meetup after the PyData Amsterdam 2023 conference and hope to see you all there!

SCHEDULE

• 18:00-19:00: Welcome with food and drinks!
• 19:00-19:45: Talk 1 - How to build a great wind power forecast using machine learning - Tom de Ruijter
• 19:45-20:00: break
• 20:00-20:45: Talk 2 - Intelligent charging of EVs using machine learning - Huib Keemink
• 20:45-22:00: Networking / drinks!

TALKS

“How to build a great wind power forecast using machine learning”
At Dexter Energy we use machine learning to forecast wind power generation in order to accelerate the energy transition. In this talk, we will delve into the why, what, and how of wind power forecasting. We'll explore crucial aspects of data collection, discuss various modelling strategies, evaluate performance metrics, and discuss future developments in the field.

Bio - Tom de Ruijter
Tom de Ruijter is a Lead Data Scientist at Dexter Energy, where he oversees the development of one of the most accurate power generation forecasts in the industry. Prior to Dexter Energy, Tom kickstarted his career by working as a Data Scientist at the MeteoGroup, and later he worked as a Senior Data Scientist consultant for companies such as Eneco, KLM, and VodafoneZiggo. Tom holds a Master of Science in Computer Science from Radboud University.

“Intelligent charging of EVs using machine learning"
Shifting from easily steered generation (coal, gas) to renewables (wind, solar), matching demand and supply is more important than ever. In this talk we’ll explore how electric vehicles can be part of the solution instead of the problem, and the role Machine Learning plays.

Bio - Huib Keemink
Huib is head of analytics at Jedlix, where he leverages his expertise in data science and machine learning to reduce grid imbalance with electric vehicles. While he works in a lead role, Huib still writes code every day, and he enjoys every second of it.

Directions
Hosted by Dexter Energy in their office at Joan Muyskenweg 22, 1096 CJ in Amsterdam. Their office is located next to the Overamstel metro station. If you come by public transport; it’s just a 250m walk.