| 1 |
Control of primary disinfection in a drinking water treatment plant based on a fuzzy inference system
Godo-Pla L, Rodriguez JJ, Suquet J, Emiliano P, Valero F, Poch M, Monclus H
Process Safety and Environmental Protection, 145, 63, 2021 |
| 2 |
Artificial neural networks and adaptive neuro-fuzzy inference systems approaches to forecast the meteorological data for HVAC: The case of cities for Turkey
Isik E, Inalli M
Energy, 154, 7, 2018 |
| 3 |
Prediction and comparison of solar radiation using improved empirical models and Adaptive Neuro-Fuzzy Inference Systems
Zou L, Wang LC, Xia L, Lin AW, Hu B, Zhu HJ
Renewable Energy, 106, 343, 2017 |
| 4 |
Learning based personalized energy management systems for residential buildings
Soudari M, Srinivasan S, Balasubramanian S, Vain J, Kotta U
Energy and Buildings, 127, 953, 2016 |
| 5 |
Using data-driven approach for wind power prediction: A comparative study
Renani ET, Elias MFM, Rahim NA
Energy Conversion and Management, 118, 193, 2016 |
| 6 |
Using ANFIS and Neural Networks to Predict the Volume Percentage of Matrix and Fluid
Baneshi M
Energy Sources Part A-recovery Utilization and Environmental Effects, 37(20), 2247, 2015 |
| 7 |
An adaptive network-based fuzzy inference system for short-term natural gas demand estimation: Uncertain and complex environments
Azadeh A, Asadzadeh SM, Ghanbari A
Energy Policy, 38(3), 1529, 2010 |
| 8 |
Trading strategies modeling in Colombian power market using artificial intelligence techniques
Moreno J
Energy Policy, 37(3), 836, 2009 |
| 9 |
Artificial neural networks and neuro-fuzzy inference systems as virtual sensors for hydrogen safety prediction
Karri V, Ho T, Madsen O
International Journal of Hydrogen Energy, 33(11), 2857, 2008 |
| 10 |
Integration of genetic algorithm and a coactive neuro-fuzzy inference system for permeability prediction from well logs data
Saemi M, Ahmadi M
Transport in Porous Media, 71(3), 273, 2008 |
