Load Profiles Identification Based on Autoencoders and Kohonen Maps

• Type: Article in International Conference Proceedings Book
• Date: 2015

Authors

José Nuno Fidalgo (Author) FEUP; Progano, LR (Author) Other

Conference proceedings International

Title: 2015 18th International Conference on Intelligent System Application to Power Systems (ISAP)

Indexing

ISI Web of Knowledge - 0 Citations

Scopus - 1 Citation

Other information

Authenticus ID: P-00K-C55

DOI: 10.1109/isap.2015.7325538

Abstract (EN): Load profiles are a crucial tool for power system planning and operation, and also in several operations of electricity markets. This article proposes a new methodology for the determination of load profiles based on a two-step approach. The first phase employs a neural network autoencoder to reduce the dimensionality of the input vectors. The second phase is a clustering process based on the Kohonen Self- Organizing Maps, to identify cohesive consumers' classes. The implemented approach produces classes based on load diagrams and, simultaneously, a class identification based on consumers' billing data.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6