Particle swarm optimization-based empirical mode decomposition predictive technique for nonstationary data
Author:
Publisher
Springer Science and Business Media LLC
Subject
Hardware and Architecture,Information Systems,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s11227-022-04646-6.pdf
Reference53 articles.
1. Sousa JC, Jorge HM, Neves LP (2014) Short-term load forecasting based on support vector regression and load profiling. Int J Energy Res 38:350–362
2. Wang, X., & Wang, Y. (2016). A hybrid model of EMD and PSO-SVR for short-term load forecasting in residential quarters. Mathematical Problems in Engineering.
3. Cuaresma JC, Hlouskova J, Kossmeier S, Obersteiner M (2004) Forecasting electricity spot-prices using linear univariate time-series models. Appl Energy 77:87–106
4. Gepperth A, Hammer B (2016) Incremental learning algorithms and applications. In: European Symposium on Artificial Neural Networks (ESANN)
5. Qiu X, Suganthan PN, Amaratunga GA (2018) Ensemble incremental learning random vector functional link network for short-term electric load forecasting. Knowl Based Syst 145:182–196
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