An Application of Closest Pair of Points Algorithm to Detect the Outliers on the Fixed Solar System
Keywords:
Photovoltaic, outliers, closest pair of points algorithm and renewable energy.Abstract
Renewable energy resources are regarded as clean energy sources and effective utilization of these resources reduces ecological effects, produces little secondary waste and they are feasible in light of present and future economic and social societal demands. Solar energy is a radiant light and heat from the sun that may be harvested through a variety of methods, including solar power for producing electricity, solar thermal energy, and solar architecture. Solar technologies generate electricity from the sun, which is considered to be a clean energy source. Solar energy technologies offer a tremendous chance for mitigating greenhouse gas emissions and lowering global warming by replacing traditional energy sources. However, the technologies are not exempted from the operational challenges such as the ever-fluctuating ambient conditions. The intention of this study is to present the experimental outcomes of an application of the closest pair of points algorithm to detect outliers on the fixed solar system. The closest pair of points algorithm is used to find outliers in the system based on the measured voltage from the photovoltaic (PV) panel. The algorithm examines the PV panel’s immediate voltage and compares it to earlier voltage samples to assess whether there is a significant voltage variation that might turn into outliers. The algorithm proved to be extremely precise and efficient in detecting outliers on the fixed solar system. However, the efficiency of the algorithm should yet be verified for larger PV arrays to determine whether it will withstand the test.
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