Abstract: Time series are the primary data type used to record dynamic system measurements and generated in great volume by both physical sensors and online processes (virtual sensors). Time series ...
Time series forecasting predicts future values from previously observed, time-ordered data. Unlike ordinary regression, time series modeling must account for temporal dependence, trend, seasonality, ...
Abstract: Ultra-short-term wind power forecasting plays a vital role in real-time scheduling, frequency regulation, and intraday market transactions. Due to the complexity of weather systems, unit ...