Short-Term Power Prediction for Renewable Energy Using Hybrid Graph Convolutional Network and Long Short-Term Memory Approach

no code implementations • 15 Nov 2021 • Wenlong Liao, Birgitte Bak-Jensen, Jayakrishnan Radhakrishna Pillai, Zhe Yang, Kuangpu Liu

Accurate short-term solar and wind power predictions play an important role in the planning and operation of power systems.

A Review of Graph Neural Networks and Their Applications in Power Systems

1 code implementation • 25 Jan 2021 • Wenlong Liao, Birgitte Bak-Jensen, Jayakrishnan Radhakrishna Pillai, Yuelong Wang, Yusen Wang

The data in these tasks is typically represented in Euclidean domains.

Time Series Time Series Prediction