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Artificial neural network models for global solar energy and photovoltaic power forecasting over India
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Applying wind energy as a clean source for reverse osmosis desalination: A comprehensive review
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A classifier to detect best mode for Solar Chimney Power Plant system
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Experimental studies on solar chimneys for natural ventilation in domestic applications: a comprehensive review
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A Review on Solar Energy Utilization and Projects: Development in and around the UAE
Analysis and feasibility of integrating a new and novel hybrid solar chimney power plant with a traditional electrical grid
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Non-destructive estimation of leaf area of Citrus varieties of the Kotra Germplasm Bank
Energy-related carbon dioxide emission forecasting of four European countries by employing data-driven methods
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Performance analysis of hybrid solar chimney–power plant for power production and seawater desalination: A sustainable approach
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A New Sustainable and Novel Hybrid Solar Chimney Power Plant Design for Power Generation and Seawater Desalination
Emad Abdelsalam, Fares Almomani, Feras Kafiah, Eyad Almaitta, Muhammad Tawalbeh, Asma Khasawneh, Dareen Habash, Abdullah Omar and Malek Alkasrawi Sustainability 13(21) 12100 (2021) https://doi.org/10.3390/su132112100
Performance characteristics of divergent chimney solar updraft tower plant
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Applying different types of artificial neural network for modeling thermal conductivity of nanofluids containing silica particles
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The fuzzy logic-based modeling of a micro-scale sloped solar chimney power plant
Evaluating GMDH-based models to predict daily dew point temperature (case study of Kerman province)
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Numerical analysis of photovoltaic solar panel cooling by a flat plate closed-loop pulsating heat pipe
Hossein Alizadeh, Mohammad Alhuyi Nazari, Roghayeh Ghasempour, Mohammad Behshad Shafii and Aliakbar Akbarzadeh Solar Energy 206 455 (2020) https://doi.org/10.1016/j.solener.2020.05.058
Developing an ANFIS-based swarm concept model for estimating the relative viscosity of nanofluids
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Thermodynamic and economic analysis of performance evaluation of all the thermal power plants: A review
Mohammad H. Ahmadi, Mohammad Alhuyi Nazari, Milad Sadeghzadeh, Fathollah Pourfayaz, Mahyar Ghazvini, Tingzhen Ming, Josua P. Meyer and Mohsen Sharifpur Energy Science & Engineering 7(1) 30 (2019) https://doi.org/10.1002/ese3.223
Modeling thermal conductivity of Ag/water nanofluid by applying a mathematical correlation and artificial neural network
Mahdi Ramezanizadeh and Mohammad Alhuyi Nazari International Journal of Low-Carbon Technologies 14(4) 468 (2019) https://doi.org/10.1093/ijlct/ctz030
Smart modeling by using artificial intelligent techniques on thermal performance of flat‐plate solar collector using nanofluid
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Prediction of CO2 adsorption on different activated carbons by hybrid group method of data-handling networks and LSSVM
A review on the applications of intelligence methods in predicting thermal conductivity of nanofluids
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Sensitivity analysis and application of machine learning methods to predict the heat transfer performance of CNT/water nanofluid flows through coils
Development of multilayer perceptron artificial neural network (MLP-ANN) and least square support vector machine (LSSVM) models to predict Nusselt number and pressure drop of TiO2/water nanofluid flows through non-straight pathways
Mostafa Kahani, Mohammad Hossein Ahmadi, Afshin Tatar and Milad Sadeghzadeh Numerical Heat Transfer, Part A: Applications 74(4) 1190 (2018) https://doi.org/10.1080/10407782.2018.1523597
Modeling Thermal Conductivity Ratio of CuO/Ethylene Glycol Nanofluid by Using Artificial Neural Network
Applying GMDH artificial neural network in modeling CO2 emissions in four nordic countries
Mohammad Hossein Rezaei, Milad Sadeghzadeh, Mohammad Alhuyi Nazari, Mohammad Hossein Ahmadi and Fatemeh Razi Astaraei International Journal of Low-Carbon Technologies 13(3) 266 (2018) https://doi.org/10.1093/ijlct/cty026
Applicability of connectionist methods to predict thermal resistance of pulsating heat pipes with ethanol by using neural networks
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Determination of thermal conductivity ratio of CuO/ethylene glycol nanofluid by connectionist approach
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Application of AHP-DEMATEL and GMDH Framework to Develop an Indicator to Identify Failure Probability of Wave Energy Converter