Rik van der Vlist
Rik is a machine learning engineer with a strong foundation in electrical engineering and a specialization in leveraging electricity data for smart use cases. With previous experience at Eneco, he has focused on delivering automated home energy insights to large group of customers. Currently, Rik is dedicated to constructing a scalable forecasting model for a sustainable electricity grid, combining his passion for data science and sustainable solutions. He thrives on creating value and generating insights from raw data, demonstrating his proficiency in building robust and scalable data pipelines using Spark and Python.
Sessions
Join us as we explore the complexities of balancing the electricity grid amidst the rise of renewable energy sources. We’ll discover the challenges in forecasting electricity consumption from diverse industrial resources and the modelling techniques employed by Sympower to achieve accurate forecasts. Gain insights into the trade-offs involved in aggregating data at different hierarchical levels in time series forecasting.