Výsledky vyhľadávania - "Machine Learning Methods for Solar Radiation Forecasting"

Technical-economic evaluation of a 94.5 MW wind power plant at different elevation heights. A case study in Peru's countryside

Autori: Priscila Scarlet Portocarrero Mendoza Villicaña Ortiz, Eunice

Prispievatelia: Priscila Scarlet Portocarrero Mendoza Villicaña Ortiz, Eunice

Zdroj: Journal of Engineering Research. 13:1089-1103

Predmety: Renewable energy, Levelized cost of energy, FOS: Political science, Aerospace Engineering, FOS: Mechanical engineering, Structural engineering, FOS: Law, Wind power in Peru, 7. Clean energy, Environmental science, Elevation (ballistics), Engineering, Meteorology, Artificial Intelligence, 11. Sustainability, Wind farms, FOS: Electrical engineering, electronic engineering, information engineering, Machine Learning Methods for Solar Radiation Forecasting, Electrical and Electronic Engineering, Rural area, Power station, Political science, Wind Power Integration in Power Systems, Geography, 15. Life on land, Economic feasibility, 13. Climate action, Electrical engineering, Physical Sciences, Computer Science, Wind Energy Technology and Aerodynamics, Wind power, Law

Popis súboru: application/pdf

Enhancing the performance of zero energy buildings with boosted coyote optimization and elman neural networks

Autori: Sha Lan Deprizon Navid Razmjooy

Zdroj: Energy Reports. 11:5214-5226

Predmety: Artificial neural network, Building Energy Efficiency and Thermal Comfort Optimization, Artificial intelligence, Electricity Price and Load Forecasting Methods, Energy Efficiency, Quantum mechanics, 7. Clean energy, 12. Responsible consumption, Engineering, Artificial Intelligence, 11. Sustainability, FOS: Electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Machine Learning Methods for Solar Radiation Forecasting, Electrical and Electronic Engineering, Building Performance, Building Energy Consumption, Energy Simulation, Physics, Zero (linguistics), Statistics, Load Forecasting, Linguistics, Building and Construction, Computer science, FOS: Philosophy, ethics and religion, Philosophy, 13. Climate action, Physical Sciences, Computer Science, FOS: Languages and literature, Zero-energy building, Energy (signal processing), Mathematics, Zero-point energy

Investigating boosting techniques’ efficacy in feature selection: A comparative analysis

Autori: Ubaid Ahmed Anzar Mahmood Majid Ali Tunio a ďalší

Zdroj: Energy Reports. 11:3521-3532

Predmety: Artificial intelligence, Electricity Price and Load Forecasting Methods, 4. Education, Load Forecasting, Boosting (machine learning), 15. Life on land, Pattern recognition (psychology), Computer science, 7. Clean energy, Engineering, Selection (genetic algorithm), Artificial Intelligence, 13. Climate action, Application of Genetic Programming in Machine Learning, Computer Science, Physical Sciences, Feature selection, Machine learning, FOS: Electrical engineering, electronic engineering, information engineering, Machine Learning Methods for Solar Radiation Forecasting, Electrical and Electronic Engineering, Feature Selection, Short-Term Forecasting, Probabilistic Forecasting, Forecasting

Parameter Estimation of Photovoltaic Cell using Transit Search Optimizer

Autori: Hady El Said Abdel Maksoud Shaaban M. Shaaban

Zdroj: Engineering, Technology & Applied Science Research. 14:13967-13973

Predmety: Photovoltaic Arrays, Parameter Estimation, 0211 other engineering and technologies, Photon Recycling, 02 engineering and technology, 7. Clean energy, Environmental science, Systems engineering, Engineering, Concentrator Photovoltaics, Artificial Intelligence, FOS: Electrical engineering, electronic engineering, information engineering, 0202 electrical engineering, electronic engineering, information engineering, Machine Learning Methods for Solar Radiation Forecasting, Multijunction Solar Cell Technology, Electrical and Electronic Engineering, Estimation theory, Photovoltaic system, Energy, Multijunction Solar Cells, Renewable Energy, Sustainability and the Environment, Solar cell, Photovoltaic Maximum Power Point Tracking Techniques, Transport engineering, Computer science, Algorithm, Electrical engineering, Physical Sciences, Computer Science, Transit (satellite), Public transport, Estimation

Parameters extraction of photovoltaic models using enhanced generalized normal distribution optimization with neighborhood search

Autori: Mohamed Ghetas Motasem Elshourbagy

Zdroj: Neural Computing and Applications. 36:14035-14052

Predmety: Photovoltaic Arrays, Parameter Estimation, 0211 other engineering and technologies, Lithium-ion Battery Management in Electric Vehicles, FOS: Mechanical engineering, 02 engineering and technology, Mathematical analysis, 7. Clean energy, 12. Responsible consumption, Engineering, Artificial Intelligence, Extraction (chemistry), 0202 electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Machine Learning Methods for Solar Radiation Forecasting, Biology, Photovoltaic system, Chromatography, Energy, GIS-based Site Selection, Ecology, Renewable Energy, Sustainability and the Environment, Distribution (mathematics), Mathematical optimization, Photovoltaic Maximum Power Point Tracking Techniques, Computer science, Chemistry, Biological system, FOS: Biological sciences, Physical Sciences, Computer Science, Automotive Engineering, Mathematics, Forecasting

COMPARATIVE ANALYSIS OF CLOT-ADJUSTED AHI-8/9 AND FY-4A SOLAR RADIATION DATA FOR SOLAR PV POWER POTENTIAL ASSESSMENT IN THE PHILIPPINES

Autori: M. E. Sotto Ma. Divina Angela Bauzon Jayson M. Cañete a ďalší

Zdroj: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-4-W8-2023, Pp 425-430 (2024)

Predmety: Technology, 0211 other engineering and technologies, 02 engineering and technology, 01 natural sciences, Quantum mechanics, 7. Clean energy, Environmental science, Meteorology, Engineering, Artificial Intelligence, Applied optics. Photonics, Machine Learning Methods for Solar Radiation Forecasting, Photovoltaic system, 0105 earth and related environmental sciences, Energy, Radiation, Geography, Renewable Energy, Sustainability and the Environment, Physics, Optics, Photovoltaic Maximum Power Point Tracking Techniques, Power (physics), Engineering (General). Civil engineering (General), TA1501-1820, 13. Climate action, Electrical engineering, Computer Science, Physical Sciences, Photovoltaic Power, Solar power, TA1-2040

Popis súboru: application/pdf

Prístupová URL adresa: https://isprs-archives.copernicus.org/articles/XLVIII-4-W8-2023/425/2024/
https://doaj.org/article/a079451f36ff460095f7ca47f10ffa57

Extraction of Solar Module Parameters using a Novel Optimization Technique

Autori: Hossam Eldin H. Ahmed Yehya I. Mesalam Shaaban M. Shaaban

Zdroj: Engineering, Technology & Applied Science Research. 14:13112-13117

Predmety: Chromatography, Energy, Renewable Energy, Sustainability and the Environment, 0211 other engineering and technologies, 02 engineering and technology, Photovoltaic Maximum Power Point Tracking Techniques, Computer science, 7. Clean energy, Materials science, Chemistry, Engineering, Artificial Intelligence, Extraction (chemistry), Physical Sciences, Computer Science, 0202 electrical engineering, electronic engineering, information engineering, Solar Thermal Energy Technologies, Process engineering, Machine Learning Methods for Solar Radiation Forecasting

Mathematical Prediction of Electrical Solar Energy Based on Solar Data for Two Main Cities of Chad: Mongo in the Centre and Pala in the South of Chad

Autori: Ali Ramadan Ali Mahamat Kher Nediguina Adoum Kriga a ďalší

Zdroj: Journal of Energy, Environmental & Chemical Engineering. 9:33-45

Predmety: Energy, Geography, Renewable Energy, Sustainability and the Environment, Physics, Engineering physics, Photovoltaic Maximum Power Point Tracking Techniques, 15. Life on land, 7. Clean energy, Environmental science, Meteorology, Engineering, Solar energy, Artificial Intelligence, 13. Climate action, Electrical engineering, Computer Science, Physical Sciences, 11. Sustainability, Solar Thermal Energy Technologies, Machine Learning Methods for Solar Radiation Forecasting, Solar Energy Use in Industries

SPATIAL INVENTORY OF SOLAR PHOTOVOLTAIC (PV) INSTALLATIONS USING REMOTE SENSING AND MACHINE LEARNING: CASE OF PAMPANGA PROVINCE, PHILIPPINES

Autori: Anne Glydel Dalagan J. A. Principe

Zdroj: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-4-W9-2024, Pp 115-123 (2024)

Predmety: Technology, Geography, 0211 other engineering and technologies, 02 engineering and technology, Remote sensing, 15. Life on land, Engineering (General). Civil engineering (General), 7. Clean energy, 01 natural sciences, Environmental science, TA1501-1820, Engineering, Artificial Intelligence, 13. Climate action, Electrical engineering, Computer Science, Physical Sciences, Photovoltaic Power, 11. Sustainability, Applied optics. Photonics, Machine Learning Methods for Solar Radiation Forecasting, TA1-2040, Photovoltaic system, 0105 earth and related environmental sciences

Popis súboru: application/pdf

Prístupová URL adresa: https://isprs-archives.copernicus.org/articles/XLVIII-4-W9-2024/115/2024/
https://doaj.org/article/da1623f2502f4efd82c2ffd8665652c0

Estimation of solar cell parameters through utilization of adaptive sine–cosine particle swarm optimization algorithm

Autori: Mohamed Issa Ahmed M. Helmi Mohamed Ghetas

Zdroj: Neural Computing and Applications. 36:8757-8773

Predmety: 0211 other engineering and technologies, Geometry, Metaheuristic, 02 engineering and technology, 7. Clean energy, Sine, Swarm behaviour, 12. Responsible consumption, Computational Science and Engineering, Artificial Intelligence, Machine learning, 11. Sustainability, 0202 electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Machine Learning Methods for Solar Radiation Forecasting, Estimation theory, Trigonometric functions, Energy, Renewable Energy, Sustainability and the Environment, Multi-swarm optimization, Particle swarm optimization, Mathematical optimization, Photovoltaic Maximum Power Point Tracking Techniques, Computer science, Algorithm, Photovoltaic Efficiency, 13. Climate action, Physical Sciences, Computer Science, Solar Thermal Energy Technologies, Mathematics

Design of IoT-based solar array cleaning system with enhanced performance and efficiency

Autori: Muazzam Ghafoor Arslan Ahmed Amin Muhammad Shoaib Khalid

Zdroj: Measurement + Control, Vol 57 (2024)

Predmety: Photovoltaic Arrays, PV System, Internet of Things, 0211 other engineering and technologies, 02 engineering and technology, 7. Clean energy, Engineering, Artificial Intelligence, 0202 electrical engineering, electronic engineering, information engineering, FOS: Electrical engineering, electronic engineering, information engineering, T1-995, Machine Learning Methods for Solar Radiation Forecasting, Multijunction Solar Cell Technology, Electrical and Electronic Engineering, Embedded system, Technology (General), Energy, Control engineering systems. Automatic machinery (General), Renewable Energy, Sustainability and the Environment, Photovoltaic Maximum Power Point Tracking Techniques, Computer science, 3. Good health, 13. Climate action, TJ212-225, Physical Sciences, Computer Science

Prístupová URL adresa: https://doaj.org/article/65f05cefdd24429c9e1c6015edb994ce

A hybrid model of CNN and LSTM autoencoder-based short-term PV power generation forecasting

Autori: Mohamed Ibrahim Sawsan Morkos Gharghory Hanan Kamal

Zdroj: Electrical Engineering. 106:4239-4255

Predmety: Artificial neural network, Artificial intelligence, Electricity Price and Load Forecasting Methods, PV System, Recurrent neural network, 0211 other engineering and technologies, 02 engineering and technology, Speech recognition, Pattern recognition (psychology), Quantum mechanics, 7. Clean energy, Term (time), 12. Responsible consumption, Engineering, Artificial Intelligence, Machine learning, 11. Sustainability, FOS: Electrical engineering, electronic engineering, information engineering, 0202 electrical engineering, electronic engineering, information engineering, Machine Learning Methods for Solar Radiation Forecasting, Electrical and Electronic Engineering, Energy, Electricity Price Forecasting, Renewable Energy, Sustainability and the Environment, Physics, Load Forecasting, Deep learning, Photovoltaic Maximum Power Point Tracking Techniques, Autoencoder, Power (physics), Computer science, Long short term memory, 13. Climate action, Computer Science, Physical Sciences, Short-Term Forecasting, Forecasting

Enhancing Renewable Energy Storage Conversion Efficiency using ERFE with FFNN

Autori: Elqui Yeye Pari Condori Ganga Rama Koteswara Rao Rasheed Abdulkader a ďalší

Zdroj: Journal of Machine and Computing. :40-48

Predmety: Renewable energy, Energy storage, Electricity Price and Load Forecasting Methods, Environmental economics, Economics, 0211 other engineering and technologies, 02 engineering and technology, Quantum mechanics, 7. Clean energy, Environmental science, 12. Responsible consumption, Engineering, Artificial Intelligence, 11. Sustainability, FOS: Electrical engineering, electronic engineering, information engineering, 0202 electrical engineering, electronic engineering, information engineering, Machine Learning Methods for Solar Radiation Forecasting, Efficient energy use, Demand Response in Smart Grids, Renewable Energy, Electrical and Electronic Engineering, Physics, Power (physics), Computer science, 13. Climate action, Energy Management, Electrical engineering, Physical Sciences, Computer Science, Process engineering

Solar radiation forecasting based on ANN, SVM and a novel hybrid FFA-ANN model: A case study of six cities south of Algeria

Autori: Halima Djeldjli Djelloul Benatiallah Camel Tanougast a ďalší

Zdroj: AIMS Energy, Vol 12, Iss 1, Pp 62-83 (2024)

Predmety: TK1001-1841, Support vector machine, 0211 other engineering and technologies, hybrid model, 02 engineering and technology, 7. Clean energy, Renewable energy sources, Engineering, 11. Sustainability, 0202 electrical engineering, electronic engineering, information engineering, energy systems, Energy, Geography, Particle swarm optimization, Statistics, support vector machine (svm), Algorithm, Modeling and Simulation, Physical Sciences, artificial neural network (ann), Solar Radiation, optimization, Artificial neural network, Electricity Price and Load Forecasting Methods, solar radiation, TJ807-830, Firefly algorithm, firefly algorithm (ffa), Production of electric energy or power. Powerplants. Central stations, Sunshine duration, Meteorology, Artificial Intelligence, Machine learning, FOS: Electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Machine Learning Methods for Solar Radiation Forecasting, Electrical and Electronic Engineering, Biology, Renewable Energy, Sustainability and the Environment, Load Forecasting, Relative humidity, Photovoltaic Maximum Power Point Tracking Techniques, Coefficient of determination, 15. Life on land, Computer science, Correlation coefficient, 13. Climate action, FOS: Biological sciences, Computer Science, Mean absolute percentage error, Mean squared error, Firefly protocol, Short-Term Forecasting, Zoology, Mathematics, Forecasting

Prístupová URL adresa: https://doaj.org/article/aecf6c7bb1c34ea6b855550a06fd883d

PHOTOVOLTAIC MODULE TEMPERATURE ESTIMATION MODEL FOR THE ONE-TIME-POINT DAILY ESTIMATION METHOD

Autori: Kai-Kit Wong Robiah Ahmad Kushsairy Kadir a ďalší

Zdroj: International Islamic University Malaysia Engineering Journal, Vol 25, Iss 1 (2024)

Predmety: Artificial intelligence, PV System, Parameter Estimation, T58.5-58.64 Information technology, Control (management), Photovoltaic/Thermal Hybrid Technology, Quantum mechanics, 7. Clean energy, Systems engineering, T Technology (General), Value (mathematics), Engineering, Artificial Intelligence, FOS: Mathematics, Control theory (sociology), Machine Learning Methods for Solar Radiation Forecasting, Daily output power, Maximum power principle, Photovoltaic system, Daily module temperature, Energy, Renewable Energy, Sustainability and the Environment, Physics, Statistics, Hour-based climatic data, Photovoltaic Maximum Power Point Tracking Techniques, Power (physics), Engineering (General). Civil engineering (General), Computer science, 3. Good health, Photovoltaic Efficiency, Day-based climatic data, Electrical engineering, Computer Science, Physical Sciences, Photovoltaic Power, Solar Thermal Energy Technologies, Estimation method, TA1-2040, Estimation, Mathematics

Popis súboru: application/pdf

Prístupová URL adresa: https://doaj.org/article/63cfe0f12e33432aa376a7dbf5db6750

Advancing solar energy forecasting with modified ANN and light GBM learning algorithms

Autori: Muhammad Hanif Naveed Muhammad Mohamed Metwaly a ďalší

Zdroj: AIMS Energy, Vol 12, Iss 2, Pp 350-386 (2024)

Predmety: lightweight gradient boosting machines (light gbm), TK1001-1841, Artificial intelligence, Electricity Price and Load Forecasting Methods, 0211 other engineering and technologies, TJ807-830, 02 engineering and technology, 7. Clean energy, solar irradiance (si), Renewable energy sources, Production of electric energy or power. Powerplants. Central stations, Engineering, Artificial Intelligence, Machine learning, 11. Sustainability, 0202 electrical engineering, electronic engineering, information engineering, FOS: Electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Machine Learning Methods for Solar Radiation Forecasting, Electrical and Electronic Engineering, Energy, Electricity Price Forecasting, Renewable Energy, Sustainability and the Environment, Statistics, Load Forecasting, support vector machine (svm), Photovoltaic Maximum Power Point Tracking Techniques, Computer science, Algorithm, machine learning, 13. Climate action, Computer Science, Physical Sciences, artificial neural network (ann), solar forecasting, Energy (signal processing), Short-Term Forecasting, Probabilistic Forecasting, Mathematics, Forecasting

Prístupová URL adresa: https://doaj.org/article/768379658eab48e98379d05e2867256b

Modeling influence of weather variables on energy consumption in an agricultural research institute in Ibadan, Nigeria

Autori: Rahaman Abu John U. Amakor Rasaq A. Kazeem a ďalší

Zdroj: AIMS Energy, Vol 12, Iss 1, Pp 256-270 (2024)

Predmety: TK1001-1841, Building Energy Efficiency and Thermal Comfort Optimization, Electricity Price and Load Forecasting Methods, Economics, 0211 other engineering and technologies, TJ807-830, 02 engineering and technology, 7. Clean energy, Renewable energy sources, Environmental science, Climate Change Impacts, Production of electric energy or power. Powerplants. Central stations, Engineering, Meteorology, Sociology, Artificial Intelligence, energy consumption, 11. Sustainability, 0202 electrical engineering, electronic engineering, information engineering, FOS: Electrical engineering, electronic engineering, information engineering, Machine Learning Methods for Solar Radiation Forecasting, Electrical and Electronic Engineering, ann, Building Energy Consumption, Agricultural economics, svr, Electricity Price Forecasting, Geography, Load Forecasting, Agriculture, Building and Construction, 15. Life on land, Social science, mlr, FOS: Sociology, Energy consumption, Consumption (sociology), Archaeology, 13. Climate action, Electrical engineering, Physical Sciences, Computer Science, weather variable, Forecasting

Prístupová URL adresa: https://doaj.org/article/38080c85d9d34fcfad80470bf58592d4

Unveiling the Thirst: Revealing the Water Requirements of Gujrat's Thriving Crops using CROPWAT 8.0

Autori: Muhammad Bilal Naeem Summera Jahan

Zdroj: Journal of Plant and Environment. 5:123-134

Predmety: 2. Zero hunger, Thriving, Water, 15. Life on land, Environmental science, Water resource management, 6. Clean water, 12. Responsible consumption, FOS: Psychology, Integrated Management of Water, Energy, and Food Resources, Artificial Intelligence, 13. Climate action, Computer Science, Physical Sciences, Environmental Science, Psychotherapist, Psychology, Medicine, Machine Learning Methods for Solar Radiation Forecasting, Internal medicine, Thirst, Water Science and Technology

Evaluation and performance comparison of different models for global solar radiation forecasting: a case study on five cities

Autori: Mohamed A. Ali Ashraf Elsayed Islam Elkabani a ďalší

Zdroj: Environment, Development and Sustainability. 27:10159-10201

Predmety: Renewable energy, Electricity Price and Load Forecasting Methods, 0211 other engineering and technologies, Generalization, 02 engineering and technology, Mathematical analysis, 7. Clean energy, Environmental science, Unavailability, 12. Responsible consumption, Engineering, Meteorology, Solar energy, Artificial Intelligence, Machine learning, 11. Sustainability, 0202 electrical engineering, electronic engineering, information engineering, FOS: Electrical engineering, electronic engineering, information engineering, Indoor Air Pollution in Developing Countries, Solar Energy, FOS: Mathematics, Machine Learning Methods for Solar Radiation Forecasting, Electrical and Electronic Engineering, Radiation, Electricity Price Forecasting, Physics, Statistics, Predictive modelling, Load Forecasting, Optics, Pollution, Computer science, 13. Climate action, Electrical engineering, Computer Science, Physical Sciences, Environmental Science, Solar Radiation, Mathematics, Forecasting

Photovoltaic module augmented by commercial reflectors in Southern Algeria: Comparison between different reflective materials

Autori: M. Rachedi Djamel Bechki Hamza Bouguettaia

Zdroj: Acta IMEKO. 12:1-6

Predmety: Composite material, FOS: Mechanical engineering, Automotive engineering, Quantum mechanics, 7. Clean energy, Environmental science, Engineering, Solar energy, Artificial Intelligence, 11. Sustainability, FOS: Electrical engineering, electronic engineering, information engineering, Aluminium, Machine Learning Methods for Solar Radiation Forecasting, Multijunction Solar Cell Technology, Electrical and Electronic Engineering, Solar Thermal Collectors, Photovoltaic system, Tilt (camera), Energy, Renewable Energy, Sustainability and the Environment, Physics, Installation, Optics, Power (physics), Materials science, Mechanical engineering, 13. Climate action, Electrical engineering, Computer Science, Physical Sciences, Solar Thermal Energy Technologies, Sunlight