Forecasting Energy Needs with Logistics https://arxiv.org/abs/2409.19008
Forecasting Energy Needs with Logistics https://arxiv.org/abs/2409.19008 The logistic function is used to forecast energy consumed worldwide and oil production in the U.S. The logistic substitution model is used to describe the energy mix since 1965 presenting a picture significantly differen...šš¤
Lol imagine villains so cartoonish that they want to take away weather forecasting. 0/10, do not recommend
Economic forecasting using agent-based modelling. Governments should be taking this seriously. #complexity
Machine learning for data-centric epidemic forecasting
Forecasting epidemic progression is a complex task influenced by various factors, including human behaviour, pathogen dynamics and environmental conditions. RodrĆguez, Kamarthi and colleagues provideā¦
New paper on Forecasting with Agent-Based Models from Sam Wiese, Jagoda Kaszowska-Mojsa, @joelnmdyer.bsky.social@j0mrn.bsky.social@doynefarmer.bsky.social#Complexity#EconSkywww.inet.ox.ac.uk/publications...
In the last few years, economic agent-based models have made the transition from qualitative models calibrated to match stylised facts to quantitativeā¦
Explore how data analytics is reshaping demand forecasting in our latest article! From machine learning to real-time data, see how advanced tech is boosting supply chain efficiency. #DataAnalytics#SupplyChain#Logistics#Forecasting#Operations#AI#Techprocure4marketing.com/data-analyti...
Explore how data analytics revolutionizes demand forecasting in supply chains, enhancing accuracy and efficiency with advanced technologies.
Look at Facebook nostalgia pages near Nottingham to see every climate change denying coal enthusiast posting forecasting power cuts. All berate the end of UK energy independence 30 years after actual pits closed with coal imported since then and ignoring that wind power is from the UK. Facts, huh