A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Support Vector Machine for Photovoltaic System Efficiency Improvement
Photovoltaic panels are promising source for renewable energy. They serve as a clean source of electricity by converting the radiation coming from the sun to electric energy. However, the amount of energy produced by the photovoltaic panels is dependent on many variables including the irradiation and the ambient temperature, leading to nonlinear characteristics. Finding the optimal operating point in the photovoltaic characteristic curve and operating the photovoltaic panels at that point ensures improved system efficiency. This paper introduces a unique method to improve the efficiency of the photovoltaic panel using Support Vector Machines. The dataset, which is obtained from a real photovoltaic setup in Spain, include temperature, radiation, output current, voltage and power for a period of one year. The results obtained show that the system is capable of accurately driving the photovoltaic panel to produce optimal output power for a given temperature and irradiation levels.
Support Vector Machine for Photovoltaic System Efficiency Improvement
Photovoltaic panels are promising source for renewable energy. They serve as a clean source of electricity by converting the radiation coming from the sun to electric energy. However, the amount of energy produced by the photovoltaic panels is dependent on many variables including the irradiation and the ambient temperature, leading to nonlinear characteristics. Finding the optimal operating point in the photovoltaic characteristic curve and operating the photovoltaic panels at that point ensures improved system efficiency. This paper introduces a unique method to improve the efficiency of the photovoltaic panel using Support Vector Machines. The dataset, which is obtained from a real photovoltaic setup in Spain, include temperature, radiation, output current, voltage and power for a period of one year. The results obtained show that the system is capable of accurately driving the photovoltaic panel to produce optimal output power for a given temperature and irradiation levels.
Support Vector Machine for Photovoltaic System Efficiency Improvement
Takruri, Maen (author) / Farhat, Maissa (author) / Sunil, Sumith (author) / Ramos-Hernanz, Jose A. (author) / Barambones, Oscar (author)
2020-01-01
Journal of Sustainable Development of Energy, Water and Environment Systems ; ISSN 1848-9257 (Online) ; Volume 8 ; Issue 3
Article (Journal)
Electronic Resource
English
DDC:
690
Performance improvement method of support vector machine‐based model monitoring dam safety
| Wiley | 2016
Structural Health Monitoring System Using Support Vector Machine
| British Library Conference Proceedings | 2002