Short-term load forecasting based on CEEMDAN and Transformer

Ran Peng(North China Electric Power University), Jing Wang(Purdue University West Lafayette), Kun Dong(North China Electric Power University), Xu Liu(Harbin University of Science and Technology)
Electric Power Systems Research
October 20, 2022
10.1016/j.epsr.2022.108885
Cited by 153

Related Papers

Challenges and Strategies for High‐Energy Aqueous Electrolyte Rechargeable Batteries
|Angewandte Chemie International Edition|2020|583
Phase Diagram and High Temperature Superconductivity at 65 K in Tuning Carrier Concentration of Single-Layer FeSe Films
|arXiv (Cornell University)|2012|409
Nanoparticle cluster gas sensor: Pt activated SnO <sub>2</sub> nanoparticles for NH <sub>3</sub> detection with ultrahigh sensitivity
|Nanoscale|2015|348
Regulating the electrochemical activity of Fe-Mn-Cu-based layer oxides as cathode materials for high-performance Na-ion battery
|Journal of Energy Chemistry|2023|240
<i>Operando</i> pH Measurements Decipher H<sup>+</sup>/Zn<sup>2+</sup> Intercalation Chemistry in High-Performance Aqueous Zn/δ-V<sub>2</sub>O<sub>5</sub> Batteries
|ACS Energy Letters|2020|236