A comparison between the application of empirical and ANN methods for estimation of daily global solar radiation in Iran
Published 2018 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A comparison between the application of empirical and ANN methods for estimation of daily global solar radiation in Iran
Authors
Keywords
-
Journal
THEORETICAL AND APPLIED CLIMATOLOGY
Volume -, Issue -, Pages -
Publisher
Springer Nature America, Inc
Online
2018-10-17
DOI
10.1007/s00704-018-2666-3
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Performance evaluation of hybrid adaptive neuro-fuzzy inference system models for predicting monthly global solar radiation
- (2018) Laith M. Halabi et al. APPLIED ENERGY
- Simultaneous balancing, sequencing, and workstation planning for a mixed model manual assembly line using hybrid genetic algorithm
- (2018) Fantahun M. Defersha et al. COMPUTERS & INDUSTRIAL ENGINEERING
- A vectorized Levenberg-Marquardt model fitting algorithm for efficient post-processing of cardiac T 1 mapping MRI
- (2018) Shufang Liu et al. COMPUTERS IN BIOLOGY AND MEDICINE
- An Intelligent Artificial Neural Network-Response Surface Methodology Method for Accessing the Optimum Biodiesel and Diesel Fuel Blending Conditions in a Diesel Engine from the Viewpoint of Exergy and Energy Analysis
- (2018) Bahman Najafi et al. Energies
- Evaluation and development of temperature-based empirical models for estimating daily global solar radiation in humid regions
- (2018) Junliang Fan et al. ENERGY
- State of charge estimation of lithium-ion batteries using optimized Levenberg-Marquardt wavelet neural network
- (2018) Bizhong Xia et al. ENERGY
- New combined models for estimating daily global solar radiation based on sunshine duration in humid regions: A case study in South China
- (2018) Junliang Fan et al. ENERGY CONVERSION AND MANAGEMENT
- Developing a multi-zone model for a HCCI engine to obtain optimal conditions using genetic algorithm
- (2018) Mohsen Nazoktabar et al. ENERGY CONVERSION AND MANAGEMENT
- An efficient genetic algorithm to solve the resource-constrained project scheduling problem with transfer times: The single mode case
- (2018) Roubila Lilia Kadri et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- Accelerated nonrigid image registration using improved Levenberg–Marquardt method
- (2018) Jiyang Dong et al. INFORMATION SCIENCES
- A new comprehensive model for relative viscosity of various nanofluids using feed-forward back-propagation MLP neural networks
- (2018) H.R. Ansari et al. INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER
- Toward generalized models for estimating molecular weights and acentric factors of pure chemical compounds
- (2018) Abdolhossein Hemmati-Sarapardeh et al. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
- Assessment of energy consumption and modeling of output energy for wheat production by neural network (MLP and RBF) and Gaussian process regression (GPR) models
- (2018) Morteza Taki et al. JOURNAL OF CLEANER PRODUCTION
- Optimal filter design with progressive genetic algorithm for local damage detection in rolling bearings
- (2018) Jacek Wodecki et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Multi-layer perceptron hybrid model integrated with the firefly optimizer algorithm for windspeed prediction of target site using a limited set of neighboring reference station data
- (2018) Ravinesh C. Deo et al. RENEWABLE ENERGY
- A novel soft computing model (Gaussian process regression with K-fold cross validation) for daily and monthly solar radiation forecasting (Part: I)
- (2018) Abbas Rohani et al. RENEWABLE ENERGY
- A new empirical model for forecasting the diffuse solar radiation over Sahara in the Algerian Big South
- (2018) Nadjem Bailek et al. RENEWABLE ENERGY
- Impact of climate change on potential evapotranspiration (case study: west and NW of Iran)
- (2018) Y. Dinpashoh et al. THEORETICAL AND APPLIED CLIMATOLOGY
- Estimating wheat and maize daily evapotranspiration using artificial neural network
- (2018) Nazanin Abrishami et al. THEORETICAL AND APPLIED CLIMATOLOGY
- Water quality assessment with emphasis in parameter optimisation using pattern recognition methods and genetic algorithm
- (2018) Gonzalo Sotomayor et al. WATER RESEARCH
- Prediction of solubility of N-alkanes in supercritical CO 2 using RBF-ANN and MLP-ANN
- (2018) Mahdi Abdi-Khanghah et al. Journal of CO2 Utilization
- Uncertainty assessment of the multilayer perceptron (MLP) neural network model with implementation of the novel hybrid MLP-FFA method for prediction of biochemical oxygen demand and dissolved oxygen: a case study of Langat River
- (2017) Bahare Raheli et al. Environmental Earth Sciences
- Impurity effect on clear water evaporation: toward modelling wastewater evaporation using ANN, ANFIS-SC and GEP techniques
- (2017) A. Izady et al. HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES
- Dimming in Iran since the 2000s and the potential underlying causes
- (2017) Babak Jahani et al. INTERNATIONAL JOURNAL OF CLIMATOLOGY
- The global solar radiation estimation and analysis of solar energy: Case study for Osmaniye, Turkey
- (2017) Bulent Yaniktepe et al. International Journal of Green Energy
- A predictive approach for thermodynamic modeling of solubility in supercritical fluids using genetic algorithm
- (2017) Hassina Bezaze et al. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
- Modeling of gas diffusion layers with curved fibers using a genetic algorithm
- (2017) Sima Didari et al. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
- Optimization of type III pressure vessels using genetic algorithm and simulated annealing
- (2017) V. Alcántar et al. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
- Inverse identification of impact locations using multilayer perceptron with effective time-domain feature
- (2017) Md Sazzad Hossain et al. INVERSE PROBLEMS IN SCIENCE AND ENGINEERING
- Estimating daily global solar radiation by day of the year in six cities located in the Yucatán Peninsula, Mexico
- (2017) Victor H. Quej et al. JOURNAL OF CLEANER PRODUCTION
- Evaluating the effect of particulate matter pollution on estimation of daily global solar radiation using artificial neural network modeling based on meteorological data
- (2017) Masoud Vakili et al. JOURNAL OF CLEANER PRODUCTION
- A critical review of the models used to estimate solar radiation
- (2017) Jianyuan Zhang et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Evaluation and development of empirical models for estimating daily solar radiation
- (2017) Babak Jahani et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Daily pan evaporation modeling using chi-squared automatic interaction detector, neural networks, classification and regression tree
- (2016) Ozgur Kisi et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Financial security evaluation of the electric power industry in China based on a back propagation neural network optimized by genetic algorithm
- (2016) Wei Sun et al. ENERGY
- A priority list based approach for solving thermal unit commitment problem with novel hybrid genetic-imperialist competitive algorithm
- (2016) Navid Abdolhoseyni Saber et al. ENERGY
- Artificial neural network optimisation for monthly average daily global solar radiation prediction
- (2016) Emanuel Federico Alsina et al. ENERGY CONVERSION AND MANAGEMENT
- Assessing the suitability of hybridizing the Cuckoo optimization algorithm with ANN and ANFIS techniques to predict daily evaporation
- (2016) Jamshid Piri et al. Environmental Earth Sciences
- Prediction and application of solar radiation with soft computing over traditional and conventional approach – A comprehensive review
- (2016) Sthitapragyan Mohanty et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Solar radiation prediction using different techniques: model evaluation and comparison
- (2016) Lunche Wang et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Solar–wind hybrid renewable energy system: A review
- (2016) Vikas Khare et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Estimating the diffuse solar radiation using a coupled support vector machine–wavelet transform model
- (2016) Shahaboddin Shamshirband et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- A novel Grouping Genetic Algorithm–Extreme Learning Machine approach for global solar radiation prediction from numerical weather models inputs
- (2016) A. Aybar-Ruiz et al. SOLAR ENERGY
- New horizontal global solar radiation estimation models for Turkey based on robust coplot supported genetic programming technique
- (2015) Haydar Demirhan et al. ENERGY CONVERSION AND MANAGEMENT
- Estimation of available global solar radiation using sunshine duration over South Korea
- (2015) Amrita Das et al. JOURNAL OF ATMOSPHERIC AND SOLAR-TERRESTRIAL PHYSICS
- New wind speed forecasting approaches using fast ensemble empirical model decomposition, genetic algorithm, Mind Evolutionary Algorithm and Artificial Neural Networks
- (2015) Hui Liu et al. RENEWABLE ENERGY
- Estimation of monthly global solar irradiation using the Hargreaves–Samani model and an artificial neural network for the state of Alagoas in northeastern Brazil
- (2015) Gustavo Bastos Lyra et al. THEORETICAL AND APPLIED CLIMATOLOGY
- A hybrid of real coded genetic algorithm and artificial fish swarm algorithm for short-term optimal hydrothermal scheduling
- (2014) Na Fang et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- Reference evapotranspiration under changing climate over the Thar Desert in India
- (2014) D. Jhajharia et al. METEOROLOGICAL APPLICATIONS
- Solar radiation estimation using sunshine hour and air pollution index in China
- (2013) Na Zhao et al. ENERGY CONVERSION AND MANAGEMENT
- Assessing the potential of support vector machine for estimating daily solar radiation using sunshine duration
- (2013) Ji-Long Chen et al. ENERGY CONVERSION AND MANAGEMENT
- An experimental investigation of two Wavelet-MLP hybrid frameworks for wind speed prediction using GA and PSO optimization
- (2013) Hui Liu et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- Solar radiation prediction using Artificial Neural Network techniques: A review
- (2013) Amit Kumar Yadav et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Frequency analysis of climate extreme events in Zanjan, Iran
- (2013) Saeed Jahanbaksh Asl et al. STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
- Evaluation of support vector machine for estimation of solar radiation from measured meteorological variables
- (2013) Ji-Long Chen et al. THEORETICAL AND APPLIED CLIMATOLOGY
- Estimating Daily Pan Evaporation Using Different Data-Driven Methods and Lag-Time Patterns
- (2013) Sungwon Kim et al. WATER RESOURCES MANAGEMENT
- Genetic algorithms applied to phasor estimation and frequency tracking in PMU development
- (2012) R.P.M. Silva et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- Hourly predictive Levenberg–Marquardt ANN and multi linear regression models for predicting of dew point temperature
- (2012) Mohammad Zounemat-Kermani METEOROLOGY AND ATMOSPHERIC PHYSICS
- Modeling global solar radiation using Particle Swarm Optimization (PSO)
- (2012) Mohamed Ahmed Mohandes SOLAR ENERGY
- Comparison of soil and water assessment tool (SWAT) and multilayer perceptron (MLP) artificial neural network for predicting sediment yield in the Nagwa agricultural watershed in Jharkhand, India
- (2011) A. Singh et al. AGRICULTURAL WATER MANAGEMENT
- Trends in reference crop evapotranspiration over Iran
- (2011) Yagob Dinpashoh et al. JOURNAL OF HYDROLOGY
- Remote sensing of solar surface radiation for climate monitoring — the CM-SAF retrieval in international comparison
- (2011) R. Posselt et al. REMOTE SENSING OF ENVIRONMENT
- Models for obtaining daily global solar radiation with measured air temperature data in Madrid (Spain)
- (2010) J. Almorox et al. APPLIED ENERGY
- ANN-based modelling and estimation of daily global solar radiation data: A case study
- (2009) M. Benghanem et al. ENERGY CONVERSION AND MANAGEMENT
- Comparison of LLR, MLP, Elman, NNARX and ANFIS Models—with a case study in solar radiation estimation
- (2009) A. Moghaddamnia et al. JOURNAL OF ATMOSPHERIC AND SOLAR-TERRESTRIAL PHYSICS
- The potential of different ANN techniques in evapotranspiration modelling
- (2007) Ozgur Kisi HYDROLOGICAL PROCESSES
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now