Forecasting Impact
Forecasting Impact is a bimonthly podcast that aims to disseminate the science and practice of forecasting by introducing prominent academics, practitioners, and visionaries in the forecasting domain. Our vision is to help grow the forecasting community, foster collaboration between academia, industry, and governments, and promote scientific forecasting and good practices.
We will discuss a range of forecasting topics in economics, supply chain, energy, social goods, AI, machine learning, data analytics, education, healthcare, and more.
Forecasting Impact episodes are also available on the IIF YouTube Channel @IIForecasters.
Podcast Team
Chair and Co-host: Dr. Laila Ahadi-Akhlaghi, Senior Technical Advisor at JSI.
Additional co-hosts:
- Dr. Mahdi Abolghasemi, Lecturer in Data Science at The University of Queensland,
- George Boretos, Founder & CEO at FutureUP,
- Dr. Faranak Golestaneh, Data Science Senior Manager at Commonwealth Bank of Australia,
- Mariana Menchero, Senior Forecaster at Nixtla, and
- Arian Sultan Khan, Data Analyst at VAN
Co-hosts in the past have included: Michał Chojnowski, Shari De Baets, Elaine Deschamps, Dr. Sevvandi Kandanaarachchi, Bahman Rostami-Tabar, Anna Sroginis, and Sarah Van der Auweraer.
We welcome your feedback, questions, and suggestions. Please contact us at forecastingimpact@forecasters.org
Forecasting Impact
Solar Forecasting with Prof. Jan Kleissl
In this episode of Forecasting Impact, we had the privilege of hosting Professor Jan Kleissl, a leading expert in solar power forecasting. Professor Kleissl began by sharing his journey into solar forecasting, emphasizing the growing importance of renewable energy in addressing climate change. He explained the critical role solar forecasting plays in balancing energy grids, ensuring reliability, and integrating renewable energy at scale.
The discussion delved into the technical challenges of forecasting, such as dealing with weather variability, and explored the challenges ahead for NET Zero and power transformation in the field. We further explored the practical applications of accurate solar forecasting, with Professor Kleissl highlighting how it benefits grid operators and consumers by optimizing energy distribution and reducing costs. He shared insights into decentralized energy resources and fostering innovation.
He recommended the following paper for readers interested in solar power forecasting and its role in the energy market: The Value of Day-Ahead Solar Power Forecasting Improvement, published in Solar Energy.