Forecasting

The first complete guide to mastering the forecasting techniques essential for short-term trading success While a majority of trading systems incorporate only existing or past pricing activity into their simulations, the most successful ones use forecasting methods to establish future activity.

Accurate forecasting performance in the energy sector is a primary factor in the modern restructured power market, accomplished by any novel advanced hybrid techniques. Particularly in the Big Data era, forecasting models are always based on a complex function combination, and energy data are always complicated by factors such as seasonality, cyclicity, fluctuation, dynamic nonlinearity, and so on.

This book intends to provide the reader with advanced statistical modeling, forecasting, and fault detection techniques in renewable energy systems.