Smart Grid and Renewable Energy

Smart Grid and Renewable Energy

ISSN Print: 2151-481X
ISSN Online: 2151-4844
www.scirp.org/journal/sgre
E-mail: sgre@scirp.org
"Hybrid Prediction Method for Solar Power Using Different Computational Intelligence Algorithms"
written by Md Rahat Hossain, Amanullah Maung Than Oo, A. B. M. Shawkat Ali,
published by Smart Grid and Renewable Energy, Vol.4 No.1, 2013
has been cited by the following article(s):
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[2] Prediction of Photovoltaic Power Using Nature-Inspired Computing
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[3] Comparison Analysis of Machine Learning Techniques for Photovoltaic Prediction Using Weather Sensor Data
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[4] Using Artificial Intelligence Techniques for Prediction and Estimation of Photovoltaic System Output Power
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[5] Прогнозирование выработки солнечных станций и фотоэлектрических установок: основные подходы и результативность
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[6] Comparaison de méthodes d'apprentissage automatique de prévision de la ressource solaire pour une application à une gestion optimisée des réseaux intelligents
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[7] 기상 예보를 이용한 머신러닝 알고리즘 기반 태양광 발전량 예측 기법
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[8] Makine Öğrenmesi Algoritmalarıyla Güneş Enerjisi Tahmini: Niğde İli Örneği
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[9] DATA ANALYTICS IN FIELD OF RENEWAL ENERGY
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[10] A Two-Step Approach to Solar Power Generation Prediction Based on Weather Data Using Machine Learning
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[11] Predicting Solar Radiation Using Machine Learning Techniques
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[12] Investigating the impact of feature selection on the prediction of solar radiation in different locations in Saudi Arabia
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[13] Machine learning PV system performance analyser
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[14] A survey of analytical methods for inclusion in a new energy-water nexus knowledge discovery framework
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[15] Machine learning for energy-water nexus: challenges and opportunities
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[16] Mathematical tools for maximising renewable energy use in electricity supply
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[17] Solar photovoltaic generation forecasting methods: A review
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[18] Data Mining and Analysis for off Grid Solar PV Power System
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[19] 24-Hour photovoltaic generation forecasting using combined very-short-term and short-term multivariate time series model
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[20] Single and Blended Models for Day-Ahead Photovoltaic Power Forecasting
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[21] Solar power forecasting analysis of trends in modeling techniques and error minimization mechanism
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[22] Intelligent Data Analysis for Sustainable Smart Grids using Hybrid Classification by Genetic Algorithm based Discretization
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[23] Coordinated Electric Vehicle Charging for Commercial Parking Lot with Renewable Energy Sources
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[24] Machine learning methods for solar radiation forecasting: A review
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[25] Daily prediction of solar power generation based on weather forecast information in Korea
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[26] Modelling of Daily Solar Energy System Prediction using Support Vector Machine for Oman
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[27] Ensemble Learning Approach for Probabilistic Forecasting of Solar Power Generation
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[28] Nonparametric short-term probabilistic forecasting for solar radiation
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[29] DESIGN OF A RENEWABLE ENERGY OUTPUT PREDICTION SYSTEM FOR 1000MW SOLAR-WIND HYBRID POWER PLANT.
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[30] Review of photovoltaic power forecasting
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[31] Research Article Modeling of Daily Solar Energy System Prediction using Soft Computing Methods for Oman
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[32] A review of data mining and solar power prediction
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[33] Modeling of daily solar energy system prediction using soft computing methods for Oman
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[34] DESIGN OF A RENEWABLE ENERGY OUTPUT PREDICTION SYSTEM FOR 1000mW SOLAR-WIND HYBRID POWER PLANT
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[35] COORDINATED ELECTRIC VEHICLE CHARGING WITH RENEWABLE ENERGY SOURCES
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[36] Solar Production Prediction Based on Non-linear Meteo Source Adaptation
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[37] Probabilistic Forecasting of Solar Power: An Ensemble Learning Approach
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[38] Development of a software application for statistical analysis of photovoltaic plant performance
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[39] An Integrated Approach to Predictive Analytics for Stock Indexes and Commodity Trading Using Computational Intelligence.
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[40] Data Mining Based Performance Analysis for Solar PV Power System Data–UCAS Case Study
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[41] Short-term solar irradiance and irradiation forecasts via different time series techniques: A preliminary study
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[42] Machine Learning Techniques for Supporting Renewable Energy Generation and Integration: A Survey
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[43] Multivariate regression for prediction of solar irradiance
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[44] Classification of Failures in Photovoltaic Systems using Data Mining Techniques
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[45] Comparison of kernel functions of support vector machines: A case study for the solar cell output power prediction
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