Turkey’s short-term gross annual electricity demand forecast by fuzzy logic approach
By S. Kucukali, K. Barış. 2010
155 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Electrical and Electronic Engineering, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/6bf8f3d53451c4bf03aaaae4aae57d18a4824a17
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In Economics and Econometrics
In Electrical and Electronic Engineering
In Management Science and Operations Research
Citations in the corpus
- Evaluation of renewable energy alternatives using MACBETH and fuzzy AHP multicriteria methods: the case of Turkey (2013, methodology): “Kucukali and Baris (2010) employed a fuzzy logic method to forecast the gross electricity demand of Turkey.”
- Application of residual modification approach in seasonal ARIMA for electricity demand forecasting: A case study of China (2012, background): “The impact of these uncertainties increases the difficulty of forecasting electricity demand; moreover, the challenge is to develop forecasting techniques to establish a valid and feasible electricity demand estimate and forecast system for power sectors (Zhu, 1999; Kucukali and Baris, 2010).”
- Forecasting energy consumption using ensemble ARIMA-ANFIS hybrid algorithm (2016, unknown): “Annual Fuzzy logic Turkey Electricity [31] 4”