forecasting exercises. …

Accurate and robust short-term load forecasting plays a significant role in electric power operations. This paper … load forecasting problem. The objective is to automatically generate models that could effectively and reliably predict … problem of forecasting electricity consumption. This study, besides providing an important contribution to the energy load …

-resolution wave power production and forecasting data is synthesized for wave energy arrays spatially-distributed along the region …

interest about forecasting such imminent threats for economic stability. In this paper we propose a novel hybrid forecasting … Vector Regression (SVR) methodology that originates from machine learning. We test the forecasting ability of the proposed …-of-sample forecasting. Finally, we argue that this new methodology can be used as an early warning system for forecasting sudden house price …