Installed capacities of wind and solar power have grown rapidly over recent years, and the
pool of literature on very short-term (minutes-to hours-ahead) wind and solar forecasting has …

Wind power forecasting has become an essential tool for energy trading and the operation
of the grid due to the increasing importance of wind energy. Therefore, estimating the …

Short-term wind power forecast (WPF) depends highly on the wind speed forecast (WSF),
which is the prime contributor to the forecasting error. To achieve more accurate WPF …

With the increasing utilization of wind generation in power system, the improvement of wind
power forecasting precision is attached vital importance. Owing to the stochastic and …

As a response to rapidly increasing penetration of wind power generation in modern electric
power grids, accurate prediction models are crucial to deal with the associated uncertainties …

Given the intermittency and randomness of wind energy, the mass grid connection of wind
power poses great challenges in power system and increases the threat in power system …

This paper proposes a direct model for conditional probability density forecasting of
residential loads, based on a deep mixture network. Probabilistic residential load forecasting …

The temporal dependencies of wind power are significant to be involved in the modeling of
short-term wind power forecasts. However, different time series inputs will contribute …

Different from power prediction for a single wind farm, the regional wind power prediction is
to predict the total power of multiple wind farms located in the same region. Normally …

One of the critical challenges in wind energy development is the uncertainty quantification.
Prior knowledge about the wind speed in look-ahead times in shape of probabilistic …