Order Article Reprints

Papaioannou GP, Dikaiakos C, Dramountanis A, Papaioannou PG. Analysis and Modeling for Short- to Medium-Term Load Forecasting Using a Hybrid Manifold Learning Principal Component Model and Comparison with Classical Statistical Models (SARIMAX, Exponential Smoothing) and Artificial Intelligence Models (ANN, SVM): The Case of Greek Electricity Market. Energies. 2016; 9(8):635. https://doi.org/10.3390/en9080635

Papaioannou, George P., Christos Dikaiakos, Anargyros Dramountanis, and Panagiotis G. Papaioannou. 2016. "Analysis and Modeling for Short- to Medium-Term Load Forecasting Using a Hybrid Manifold Learning Principal Component Model and Comparison with Classical Statistical Models (SARIMAX, Exponential Smoothing) and Artificial Intelligence Models (ANN, SVM): The Case of Greek Electricity Market" Energies 9, no. 8: 635. https://doi.org/10.3390/en9080635

Papaioannou, G. P., Dikaiakos, C., Dramountanis, A., & Papaioannou, P. G. (2016). Analysis and Modeling for Short- to Medium-Term Load Forecasting Using a Hybrid Manifold Learning Principal Component Model and Comparison with Classical Statistical Models (SARIMAX, Exponential Smoothing) and Artificial Intelligence Models (ANN, SVM): The Case of Greek Electricity Market. Energies, 9(8), 635. https://doi.org/10.3390/en9080635