Related references
Note: Only part of the references are listed.Effect of infant's gender and lactation period on biochemical and energy breast milk composition of lactating mothers from Algeria
Naima Khelouf et al.
JOURNAL OF FOOD COMPOSITION AND ANALYSIS (2023)
Diagnosis of malaria disease by integrating chi-square feature selection algorithm with convolutional neural networks and autoencoder network
Abidin caliskan
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL (2023)
Forecasting Electricity Demand in Turkey Using Optimization and Machine Learning Algorithms
Mustafa Saglam et al.
ENERGIES (2023)
Particle swarm optimization algorithm with Gaussian exponential model to predict daily and monthly global solar radiation in Northeast China
Yue Jia et al.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2023)
Ensemble Machine-Learning Models for Accurate Prediction of Solar Irradiation in Bangladesh
Md Shafiul Alam et al.
PROCESSES (2023)
A Comparative Assessment of Conventional and Artificial Neural Networks Methods for Electricity Outage Forecasting
Adeniyi Kehinde Onaolapo et al.
ENERGIES (2022)
Forecasting of transportation-related energy demand and CO2 emissions in Turkey with different machine learning algorithms
Umit Agbulut
SUSTAINABLE PRODUCTION AND CONSUMPTION (2022)
Performance Analysis of Machine Learning Algorithms for Energy Demand-Supply Prediction in Smart Grids
Eric Cebekhulu et al.
SUSTAINABILITY (2022)
Electricity Demand Forecasting with Use of Artificial Intelligence: The Case of Gokceada Island
Mustafa Saglam et al.
ENERGIES (2022)
A New CNN-Based Method for Short-Term Forecasting of Electrical Energy Consumption in the Covid-19 Period: The Case of Turkey
Ipek Atik
IEEE ACCESS (2022)
A review on modeling of solar photovoltaic systems using artificial neural networks, fuzzy logic, genetic algorithm and hybrid models
Kunal Sandip Garud et al.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH (2021)
Prediction of daily global solar radiation using different machine learning algorithms: Evaluation and comparison
Umit Agbulut et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2021)
Neural Network Approach for Global Solar Irradiance Prediction at Extremely Short-Time-Intervals Using Particle Swarm Optimization Algorithm
Ahmed Aljanad et al.
ENERGIES (2021)
A review on global solar radiation prediction with machine learning models in a comprehensive perspective
Yong Zhou et al.
ENERGY CONVERSION AND MANAGEMENT (2021)
Photo-voltaic power daily predictions using expanding PDE sum models of polynomial networks based on Operational Calculus
Ladislav Zjavka
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2020)
Hybrid support vector machines with heuristic algorithms for prediction of daily diffuse solar radiation in air-polluted regions
Junliang Fan et al.
RENEWABLE ENERGY (2020)
A short-term solar radiation forecasting system for the Iberian Peninsula. Part 1: Models description and performance assessment
Francisco J. Rodriguez-Beritez et al.
SOLAR ENERGY (2020)
Statistical and economic analysis of solar radiation and climatic data for the development of solar PV system in Nigeria
H. T. Abdulkarim et al.
ENERGY REPORTS (2020)
Skillful statistical models to predict seasonal wind speed and solar radiation in a Yangtze River estuary case study
Peng Zeng et al.
SCIENTIFIC REPORTS (2020)
Solar radiation prediction using recurrent neural network and artificial neural network: A case study with comparisons
Zhihong Pang et al.
RENEWABLE ENERGY (2020)
Evolutionary artificial neural networks for accurate solar radiation prediction
D. Guijo-Rubio et al.
ENERGY (2020)
Solar Potential Assessment using PVsyst Software in the Northern Zone of Morocco
Brahim Belmahdi et al.
13TH INTERNATIONAL CONFERENCE INTERDISCIPLINARITY IN ENGINEERING (INTER-ENG 2019) (2020)
Simulation and Optimization of Microgrid Distributed Generation: a Case Study of University Abdelmalek Essaddi in Morocco
Brahim Belmahdi et al.
13TH INTERNATIONAL CONFERENCE INTERDISCIPLINARITY IN ENGINEERING (INTER-ENG 2019) (2020)
Failure load prediction of adhesively bonded GFRP composite joints using artificial neural networks
Bahadir Birecikli et al.
JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY (2020)
Machine learning information fusion in Earth observation: A comprehensive review of methods, applications and data sources
S. Salcedo-Sanz et al.
INFORMATION FUSION (2020)
Short-term electric load forecasting in Tunisia using artificial neural networks
Rim Houimli et al.
ENERGY SYSTEMS-OPTIMIZATION MODELING SIMULATION AND ECONOMIC ASPECTS (2020)
Impact of climate change on potential evapotranspiration (case study: west and NW of Iran)
Y. Dinpashoh et al.
THEORETICAL AND APPLIED CLIMATOLOGY (2019)
Time Series ARIMA Model for Prediction of Daily and Monthly Average Global Solar Radiation: The Case Study of Seoul, South Korea
Mohammed H. Alsharif et al.
SYMMETRY-BASEL (2019)
Solar radiation estimation methods using ANN and empirical models
Vassilis Z. Antonopoulos et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2019)
Machine learning regressors for solar radiation estimation from satellite data
L. Cornejo-Bueno et al.
SOLAR ENERGY (2019)
Day-ahead spatiotemporal solar irradiation forecasting using frequency based hybrid principal component analysis and neural network
Hai Lan et al.
APPLIED ENERGY (2019)
Ensemble of relevance vector machines and boosted trees for electricity price forecasting
Rahul Kumar Agrawal et al.
APPLIED ENERGY (2019)
Ensemble spatiotemporal forecasting of solar irradiation using variational Bayesian convolutional gate recurrent unit network
Yongqi Liu et al.
APPLIED ENERGY (2019)
Deep solar radiation forecasting with convolutional neural network and long short-term memory network algorithms
Sujan Ghimire et al.
APPLIED ENERGY (2019)
Prediction of global solar irradiation using hybridized k-means and support vector regression algorithms
T. R. Ayodele et al.
RENEWABLE ENERGY FOCUS (2019)
A New Approach for Prediction of Solar Radiation with Using Ensemble Learning Algorithm
Kivanc Basaran et al.
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING (2019)
Hourly Solar Radiation Forecasting Using a Volterra-Least Squares Support Vector Machine Model Combined with Signal Decomposition
Zhenyu Wang et al.
ENERGIES (2018)
Prediction intervals for global solar irradiation forecasting using regression trees methods
Cyril Voyant et al.
RENEWABLE ENERGY (2018)
Evaluation of global horizontal irradiance estimates from ERA5 and COSMO-REA6 reanalyses using ground and satellite-based data
Ruben Urraca et al.
SOLAR ENERGY (2018)
Improving the separation of direct and diffuse solar radiation components using machine learning by gradient boosting
Ricardo Aler et al.
SOLAR ENERGY (2017)
Performance evaluation of GIS-based new ensemble data mining techniques of adaptive neuro-fuzzy inference system (ANFIS) with genetic algorithm (GA), differential evolution (DE), and particle swarm optimization (PSO) for landslide spatial modelling
Wei Chen et al.
CATENA (2017)
Prediction of solar radiation for solar systems by using ANN models with different back propagation algorithms
Neelamegam Premalatha et al.
Journal of Applied Research and Technology (2016)
Optimal design of an autonomous solar-wind-pumped storage power supply system
Tao Ma et al.
APPLIED ENERGY (2015)
Application of extreme learning machine for estimating solar radiation from satellite data
Mehmet Sahin et al.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH (2014)
Artificial intelligence techniques applied to hourly global irradiance estimation from satellite-derived cloud index
LF Zarzalejo et al.
ENERGY (2005)
An enhanced multiobjective particle swarm optimisation algorithm for optimum utilisation of hybrid renewable energy systems
M. Suresh et al.
INTERNATIONAL JOURNAL OF AMBIENT ENERGY
Share Paper
