Artificial neural network based monthly load curves forecasting

Autor:	Constantin Barbulescu, Mirela Moga, Stefan Kilyeni, Antheia Deacu, Gabriel Mihai Turi
Rok vydání:	2016
Předmět:	Mathematical optimization Artificial neural network Distribution networks business.industry Computer science Load forecasting Load modeling 02 engineering and technology 01 natural sciences Nonlinear programming 010309 optics Electric power system Operator (computer programming) Conjugate gradient method 0103 physical sciences 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Artificial intelligence business
Zdroj:	SACI
DOI:	10.1109/saci.2016.7507378
Popis:	The monthly load curve forecasting problem is discussed, being tackled using artificial neural networks (ANN). Authors are proposing an enhanced algorithm that includes nonlinear optimization techniques, such as the conjugate gradient. Thus, a software-tool has been developed. Case study refers to a real distribution network operator from the Western part of Romanian Power System.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::2493ae17f550ecb88faa021ec6023fe1 https://doi.org/10.1109/saci.2016.7507378 Zobrazit plný text záznamu