Related references
Note: Only part of the references are listed.Prediction of pressure in different two-phase flow conditions: Machine learning applications
Ehsan Khamehchi et al.
MEASUREMENT (2021)
Thermal characteristics of evacuated tube solar collectors with coil inside: An experimental study and evolutionary algorithms
Gholamabbas Sadeghi et al.
RENEWABLE ENERGY (2020)
An insight into the modeling of sulfur content of sour gases in supercritical region
Amin Bemani et al.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING (2020)
Receiving More Accurate Predictions for Longitudinal Dispersion Coefficients in Water Pipelines: Training Group Method of Data Handling Using Extreme Learning Machine Conceptions
Farid Sabed-Movahed et al.
WATER RESOURCES MANAGEMENT (2020)
Modeling ofCO2absorption capabilities of amino acid solutions using a computational scheme
Razieh Razavi et al.
ENVIRONMENTAL PROGRESS & SUSTAINABLE ENERGY (2020)
Modeling of cetane number of biodiesel from fatty acid methyl ester (FAME) information using GA-, PSO-, and HGAPSO- LSSVM models
Amin Bemani et al.
RENEWABLE ENERGY (2020)
Performance assessment of three grid-connected photovoltaic systems with combined capacity of 6.575 kWp in Malaysia
Muhammad Naveed Akhter et al.
JOURNAL OF CLEANER PRODUCTION (2020)
Utilizing Gene-Expression Programming in Modelling the Thermal Performance of Evacuated Tube Solar Collectors
Gholamabbas Sadeghi et al.
JOURNAL OF ENERGY STORAGE (2020)
Estimating the Heat Capacity of Non-Newtonian Ionanofluid Systems Using ANN, ANFIS, and SGB Tree Algorithms
Reza Daneshfar et al.
APPLIED SCIENCES-BASEL (2020)
GMDH-GEP to predict free span expansion rates below pipelines under waves
Mohammad Najafzadeh et al.
MARINE GEORESOURCES & GEOTECHNOLOGY (2019)
Review on forecasting of photovoltaic power generation based on machine learning and metaheuristic techniques
Muhammad Naveed Akhter et al.
IET RENEWABLE POWER GENERATION (2019)
NF-GMDH-Based self-organized systems to predict bridge pier scour depth under debris flow effects
Mohammad Najafzadeh et al.
MARINE GEORESOURCES & GEOTECHNOLOGY (2018)
Electricity forecasting on the individual household level enhanced based on activity patterns
Krzysztof Gajowniczek et al.
PLOS ONE (2017)
A neural network based computational model to predict the output power of different types of photovoltaic cells
WenBo Xiao et al.
PLOS ONE (2017)
Greener plug-in hybrid electric vehicles incorporating renewable energy and rapid system optimization
Xiaosong Hu et al.
ENERGY (2016)
Scour prediction in long contractions using ANFIS and SVM
Mohammad Najafzadeh et al.
OCEAN ENGINEERING (2016)
Neuro-Fuzzy GMDH to Predict the Scour Pile Groups due to Waves
Mohammad Najafzadeh et al.
JOURNAL OF COMPUTING IN CIVIL ENGINEERING (2015)
Neuro-Fuzzy GMDH-Based Evolutionary Algorithms to Predict Flow Discharge in Straight Compound Channels
Mohammad Najafzadeh et al.
JOURNAL OF HYDROLOGIC ENGINEERING (2015)
Perfect light trapping in nanoscale thickness semiconductor films with a resonant back reflector and spectrum-splitting structures
Jiang-Tao Liu et al.
PHYSICAL CHEMISTRY CHEMICAL PHYSICS (2015)
A model based on artificial neuronal network for the prediction of the maximum power of a low concentration photovoltaic module for building integration
Eduardo F. Fernandez et al.
SOLAR ENERGY (2014)
Solar power generation by PV (photovoltaic) technology: A review
G. K. Singh
ENERGY (2013)
A PSO-based adaptive fuzzy PID-controllers
Juing-Shian Chiou et al.
SIMULATION MODELLING PRACTICE AND THEORY (2012)
Short-mid-term solar power prediction by using artificial neural networks
Ercan Izgi et al.
SOLAR ENERGY (2012)
Modelling of solar energy potential in Nigeria using an artificial neural network model
D. A. Fadare
APPLIED ENERGY (2009)
Artificial intelligence techniques for photovoltaic applications: A review
Adel Mellit et al.
PROGRESS IN ENERGY AND COMBUSTION SCIENCE (2008)