The benefits of renewable energy are that it is sustainable and is low in environmental
pollution. Growing load requirement, global warming, and energy crisis need energy …

This paper presents a literature review on the selected applications of renewable resource
and power forecasting models to facilitate the optimal integration of renewable energy (RE) …

Accurate regional wind power prediction is of great significance to the wind farm clusters
integration and the economic dispatch of the regional power grid. The complex …

The development of distributed renewable energy, such as photovoltaic power and wind
power generation, makes the energy system cleaner, and is of great significance in reducing …

This paper provides an extensive review of learning-based short-term forecasting models for
smart grid applications. In addition to this, the paper also explores forecasting models …

Short-term probabilistic wind power forecasting can provide critical quantified uncertainty
information of wind generation for power system operation and control. It would be difficult to …

Probabilistic wind power forecasting includes more detailed information than deterministic
forecasting, which can provide reliable guidance for the optimal decisions of power system …

Due to the strict requirements of extremely high accuracy and fast computational speed, real-
time transient stability assessment (TSA) has always been a tough problem in power system …

Accurate and stable prediction of regional wind power is crucial for optimal scheduling and
renewable energy utilization in the power grid. In this paper, a novel multi-objective …

Scenario forecasting methods have been widely studied in recent years to cope with the
wind power uncertainty problem. The main difficulty of this problem is to accurately and …