An integrated fuzzy regression algorithm for energy consumption estimation with non-stationary data: A case study of Iran
By A. Azadeh, Morteza Saberi, O. Seraj. 2010
129 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Electrical and Electronic Engineering, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/76d7177d8b5639d89ef56a4a506f46a4467cd1e8
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In Artificial Intelligence
In Electrical and Electronic Engineering
In Statistics and Probability
Citations in the corpus
- Application of PSO (particle swarm optimization) and GA (genetic algorithm) techniques on demand est (2010, methodology): “compared GA, ANNs and fuzzy regression algorithm to estimate seasonal and monthly changes in electricity consumption in developing countries [9].”
- Do homes that are more energy efficient consume less energy?: A structural equation model for England's residential sector (2011, methodology): “Several models have been developed that implement top-down regression methods for modelling aggregate residential energy demand from the UK residential sector (A. J. Summerfield, Lowe & Oreszczyn 2010a; Les Shorrock 2003; Azadeh et al. 2010).”