23/10/2024 - Value in energy data: Forecasting as a tool in the energy transition
In an era marked by the pressing need to address climate change, innovative solutions in energy management are becoming increasingly crucial.
In this talk, three main contributions to the field of energy forecasting will be presented:
The first contribution is a novel method for long-term forecasting of individual household electricity consumption, demonstrating high accuracy and scalability.
The second introduces a global probabilistic approach for short-term forecasting of individual households consumption, particularly robust to changing patterns.
The third establishes an innovative pipeline for optimising energy efficiency in office buildings through automated plug on and off scheduling.
Each of these contributions underscores the pivotal role of advanced forecasting in energy management. But how exactly does energy time series forecasting intertwine with the broader goals of the energy transition?
Learn more at the next value in energy data webinar on Wednesday 23 October 2024.
Value in energy data: Forecasting as a tool in the energy transition
Lola is a postdoctoral researcher at KU Leuven in Belgium, where she recently completed her PhD in the intersection of energy and artificial intelligence, particularly focusing on forecasting. Her research was part of the Flanders AI Research program and involved collaborations with the research center VITO and departments at KU Leuven, working with smart meter data from Fluvius, Flanders’ distribution system operator.
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Find out more about how Energy Systems Catapult can help you and your teams