A Neuro-fuzzy-stochastic frontier analysis approach for long-term natural gas consumption forecasting and behavior analysis: The cases of Bahrain, Saudi Arabia, Syria, and UAE

Applied Energy

Volumn 88, Issue 11, 2011, Pages 3850-3859

  Azadeh, A ^a   Asadzadeh, S M ^a   Saberi, M ^b   Nadimi, V ^c   Tajvidi, A ^c   Sheikalishahi, M ^a  

^a UNIVERSITY OF TEHRAN   (Iran)

^b ISLAMIC AZAD UNIVERSITY   (Iran)

^c Azad University of Tafresh   (Iran)

Author keywords

Adaptive network based fuzzy inference system (ANFIS); Long term prediction; Natural gas demand; Stochastic data; Stochastic frontier analysis (SFA)

Indexed keywords

FORECASTING; FUZZY INFERENCE; FUZZY SYSTEMS; INTELLIGENT CONTROL; NATURAL GAS; STOCHASTIC SYSTEMS;

ADAPTIVE NETWORK BASED FUZZY INFERENCE SYSTEM; LONG-TERM PREDICTION; NATURAL GAS DEMAND; STOCHASTIC DATA; STOCHASTIC FRONTIER ANALYSIS;

GASES;

COMPLEXITY; DATA SET; DEMAND ANALYSIS; ENERGY USE; ERROR ANALYSIS; FUZZY MATHEMATICS; GROSS DOMESTIC PRODUCT; NATURAL GAS; NETWORK ANALYSIS; NUMERICAL MODEL; PERFORMANCE ASSESSMENT; PREDICTION; STOCHASTICITY; UNCERTAINTY ANALYSIS;

BAHRAIN; SAUDI ARABIA; SYRIAN ARAB REPUBLIC; UNITED ARAB EMIRATES;

EID: 79959853427     PISSN: 03062619     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apenergy.2011.04.027     Document Type: Article

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