Faithin Omaha eBook Collection

Lars Dannecker developed a novel online forecasting process that significantly improves how forecasts are calculated. It increases forecasting efficiency and ac

Renewable Energy Forecasting: From Models to Applications provides an overview of the state-of-the-art of renewable energy forecasting technology and its applic

Deep learning methods offer a lot of promise for time series forecasting, such as the automatic learning of temporal dependence and the automatic handling of te

This book presents a selection of peer-reviewed contributions on the latest advances in time series analysis, presented at the International Conference on Time

A comprehensive review of state-of-the-art approaches to power systems forecasting from the most respected names in the field, internationally Advances in Elect