Nature

Demand forecasting of smart tourism integrating spatial metrology and deep learning

To enhance the dynamic perception and accuracy of tourism demand forecasting in smart tourism scenarios, this paper proposes a forecasting framework integrating a spatial econometric model and deep ...
Nature

A collaborative privacy-preserving approach for passenger demand forecasting of autonomous taxis empowered by federated learning in smart cities

The concept of Autonomous Taxis (ATs) has witnessed a remarkable surge in popularity in recent years, paving the way toward future smart cities. However, accurately forecasting passenger demand for ...
Forbes

How AI Powers Manufacturing And Maintenance Demand Forecasting

Michael Amori is CEO and cofounder of Virtualitics. A data scientist and entrepreneur with a background in finance and physics. Accurate demand forecasting is the linchpin of effective inventory, cost ...
EurekAlert!

Detecting electricity demand patterns using a new method for high-dimensional binary data

Researchers at Institute of Science Tokyo have developed a novel Group Encoding method that accurately forecasts electricity demand using only On/Off device data from building energy systems. Tested ...