Functional clustering and linear regression for peak load forecasting

By Aldo Goia, Caterina May, Gianluca Fusai. 2010

211 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Management, Monitoring, Policy and Law, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/ccbe153561622babf74d46b3da64a55ac294d9b9

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Electrical and Electronic Engineering

1. Pierre Pinson
2. Thordis Linda Thorarinsdottir
3. Fotios Petropoulos
4. Christoph Bergmeir
5. Ricardo J. Bessa
6. Florian Ziel
7. Paul Goodwin
8. Nikolaos Kourentzes

In Management, Monitoring, Policy and Law

1. Mariangela Guidolin
2. Han Lin Shang

In Management Science and Operations Research

1. Fotios Petropoulos
2. Rob J Hyndman
3. Konstantinos Nikolopoulos
4. Nikolaos Kourentzes
5. Vassilios Assimakopoulos
6. Spyros Makridakis
7. Evangelos Spiliotis
8. Christoph Bergmeir

Citations in the corpus

• Forecasting: theory and practice (2020, background): “The scope is to increase the performance by employing the information of data structure and of the existing similarities among the data entries (Goia et al., 2010).”
• Functional time series approach for forecasting very short-term electricity demand (2013, methodology): “[14] in three aspects: first, the functional methods slice a seasonal univariate TS of electricity demand into segments and treat as a TS of curves.”