In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...
Put down the pen and paper and shelve the spreadsheets. Artificial intelligence (AI) and advanced machine learning are the next-generation tools for demand forecasting in distribution. That was the ...
A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...
Artificial intelligence-driven algorithms can be used to better forecast models for natural disasters, saving lives and protecting property by rapidly analyzing massive data sets and identifying ...
Researchers in China have applied a machine learning technology based on temporal convolutional networks in PV power forecasting for the first time. The new model reportedly outperforms similar models ...
Morning Overview on MSN
AI uses virtual sunspots to find rare magnetic events in solar data
Solar flares strong enough to knock out satellites and buckle power grids are, by definition, rare. That rarity is exactly ...
Read more about Deep learning and AI unlock new era of solar energy forecasting and performance on Devdiscourse ...
Morning Overview on MSN
New AI model aims to improve seasonal drought forecasts
Federal scientists announced a new artificial intelligence tool that can forecast drought conditions 90 days ahead across the ...
Cyber threats are increasing in speed and complexity, driving the need for advanced detection techniques. Machine learning is ...
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