Renewable energy from wind and solar resources can contribute significantly to the
decarbonisation of the conventionally fossil-driven electricity grid. However, their seamless …

While seasonal outlooks have been operational for many years, until recently the extended‐
range timescale referred to as subseasonal‐to‐seasonal (S2S) has received little attention …

Variations of produced power in windmills may influence the appropriate integration in
power-driven grids which may disrupt the balance between electricity demand and its …

Wind power generation differs from conventional thermal generation due to the stochastic
nature of wind. Thus wind power forecasting plays a key role in dealing with the challenges …

Forecast Verification: A Practioner's Guide in Atmospheric Science, 2nd Edition provides an
indispensible guide to this area of active research by combining depth of information with a …

This study aims to analyzes the predictability of the natural gas volatility by considering
extreme weather information. Based on extended GARCH-MIDAS models, empirical results …

This book offers an in-depth and up-to-date review of different statistical tools that can be
used to analyze and forecast the dynamics of two crucial for every energy company …

This paper considers univariate online electricity demand forecasting for lead times from a
half-hour-ahead to a day-ahead. A time series of demand recorded at half-hourly intervals …

Load forecasting is vitally important for the electric industry in the deregulated economy. It
has many applications including energy purchasing and generation, load switching, contract …

This empirical paper compares the accuracy of six univariate methods for short-term
electricity demand forecasting for lead times up to a day ahead. The very short lead times …