In this episode, we talk to Prof. Tao Hong, a Distinguished Professor at the <a href='https://scholar.google.com/citations?view_op=view_org&hl=en&org=9434226055669161477'>University of North Carolina at Charlotte</a>. Tao provides his insights on the future of energy forecasting research, and why we need to focus on reproducibility. He discusses the Global Energy Forecasting competitions, and what we have learned from them. He also sheds light o n the importance of industry and academic collaboration, and a business model that he has implemented successfully. He recommends the following reading for interested readers who want to go deep into forecasting and, specifically, energy forecasting: Books<ul><li><a href='https://otexts.com/fpp3/'>Forecasting Principles and Practice</a>, by Rob Hyndman, and George Athanasopoulos</li><li><a href='https://www.amazon.com.au/Matrix-Analysis-Applied-Algebra-Solution/dp/0898714540'>Matrix Analysis and Applied Linear Algebra</a> by Carl D Meyer</li></ul>Paper<ul><li><a href='https://www.sciencedirect.com/science/article/pii/S0169207015001508'>Probabilistic electric load forecasting: A tutorial review</a>, T Hong, S Fan, International Journal of Forecasting, V 32 (3), 2016. </li></ul>

In this episode, we talk to Prof. Tao Hong, a Distinguished Professor at the University of North Carolina at Charlotte. Tao provides his insights on the future of energy forecasting research, and why we need to focus on reproducibility. He discusses the Global Energy Forecasting competitions, and what we have learned from them. He also sheds light o n the importance of industry and academic collaboration, and a business model that he has implemented successfully. He recommends the following reading for interested readers who want to go deep into forecasting and, specifically, energy forecasting: BooksForecasting Principles and Practice, by Rob Hyndman, and George AthanasopoulosMatrix Analysis and Applied Linear Algebra by Carl D MeyerPaperProbabilistic electric load forecasting: A tutorial review, T Hong, S Fan, International Journal of Forecasting, V 32 (3), 2016.

In this episode, we talk to Prof. Tao Hong, a Distinguished Professor at the <a href="https://scholar.google.com/citations?view_op=view_org&amp;hl=en&amp;org=9434226055669161477" rel="noopener noreferrer">University of North Carolina at Charlotte</a>. Tao provides his insights on the future of energy forecasting research, and why we need to focus on reproducibility. He discusses the Global Energy Forecasting competitions, and what we have learned from them. He also sheds light o n the importance of industry and academic collaboration, and a business model that he has implemented successfully. He recommends the following reading for interested readers who want to go deep into forecasting and, specifically, energy forecasting: Books<ul><li><a href="https://otexts.com/fpp3/" rel="noopener noreferrer">Forecasting Principles and Practice</a>, by Rob Hyndman, and George Athanasopoulos</li><li><a href="https://www.amazon.com.au/Matrix-Analysis-Applied-Algebra-Solution/dp/0898714540" rel="noopener noreferrer">Matrix Analysis and Applied Linear Algebra</a> by Carl D Meyer</li></ul>Paper<ul><li><a href="https://www.sciencedirect.com/science/article/pii/S0169207015001508" rel="noopener noreferrer">Probabilistic electric load forecasting: A tutorial review</a>, T Hong, S Fan, International Journal of Forecasting, V 32 (3), 2016.&nbsp;</li></ul>

Tao Hong, on Energy Forecasting

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 <a href="https://www.youtube.com/playlist?list=PLUxduCQo6_X1jDKrfrXb3G68H5G7fu0ol">@IIForecasters</a>. Podcast Team Chair and Co-host: Dr. Laila Ahadi-Akhlaghi, Senior Technical Advisor at JSI. Additional co-hosts:&nbsp;<ul><li>Dr. Mahdi Abolghasemi, Lecturer in Data Science at The University of Queensland,</li><li>George Boretos, Founder &amp; CEO at FutureUP,</li><li>Dr. Faranak Golestaneh, Data Science Senior Manager at Commonwealth Bank of Australia,</li><li>Mariana Menchero, Senior Forecaster at Nixtla, and&nbsp;</li><li>Arian Sultan Khan, Data Analyst at VAN</li></ul> 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&nbsp; forecastingimpact@forecasters.org

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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 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 <a href="https://www.youtube.com/playlist?list=PLUxduCQo6_X1jDKrfrXb3G68H5G7fu0ol" rel="noopener noreferrer">@IIForecasters</a>. Podcast Team Chair and Co-host: Dr. Laila Ahadi-Akhlaghi, Senior Technical Advisor at JSI. Additional co-hosts:&nbsp;<ul><li>Dr. Mahdi Abolghasemi, Lecturer in Data Science at The University of Queensland,</li><li>George Boretos, Founder &amp; CEO at FutureUP,</li><li>Dr. Faranak Golestaneh, Data Science Senior Manager at Commonwealth Bank of Australia,</li><li>Mariana Menchero, Senior Forecaster at Nixtla, and&nbsp;</li><li>Arian Sultan Khan, Data Analyst at VAN</li></ul> 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&nbsp; forecastingimpact@forecasters.org

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Tao Hong, on Energy Forecasting

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