K Wang, M Yu, D Niu, Y Liang, S Peng, X Xu - Applied Soft Computing, 2023 - Elsevier
Electricity price forecasting (EPF) has been challenged by the widespread grid integration of renewable energy (RE), so it is critical to develop a highly accurate and reliable EPF model …
X Xu, Y Zhang - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
Addressing price forecasting problems is an important exercise to policymakers and market participants in the resource business sector. In this work, we build Gaussian process …
Reliable electricity price forecasts are of great importance to operators and participants in power markets. However, due to mixing effects of various factors, electricity price fluctuations …
F Guo, S Deng, W Zheng, A Wen, J Du, G Huang… - Energies, 2022 - mdpi.com
Accurate electricity price forecasting (EPF) can provide a necessary basis for market decision making by power market participants to reduce the operating cost of the power …
In the last decade, data analytics studies have covered a wide range of fields across the entire value chain in the electricity sector, from production and transmission to the electricity …
BG Magalhães, PMR Bento, JAN Pombo… - Expert Systems with …, 2023 - Elsevier
The increasing volatility in electricity markets has reinforced the need for better trading strategies by both sellers and buyers to limit the exposure to losses. Accordingly, this paper …
B Magalhães, P Bento, J Pombo, MR Calado… - Energies, 2024 - mdpi.com
Short-term load forecasting (STLF) plays a vital role in ensuring the safe, efficient, and economical operation of power systems. Accurate load forecasting provides numerous …
Price guidance in the flexible energy electricity market is not mature. The imbalance between supply and demand in current electricity markets is mainly caused by uncontrolled …
In electricity price forecast, deep networks have shown promising due to their strong nonlinear modeling capability but corresponding design tricks are not convincible, reflecting …