Regional Projection Histogram Matching and Linear Regression based Video Stabilization for a Moving Vehicle

Heo, Yu-Jung; Choi, Min-Kook; Lee, Sang Chul; Lee, Sangchul

doi:10.5909/jbe.2014.19.6.798

Cited by 1 publication

(1 citation statement)

References 18 publications

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“…Linear regression based on one explanatory variable is referred to as simple linear regression, and that based on two or more explanatory variables is referred to as multiple linear regression [48]. Linear regression uses a linear estimation function to model a regression equation and estimates unknown parameters from available data [49].…”

Section: Linear Regression Modelmentioning

confidence: 99%

Inverter Efficiency Analysis Model Based on Solar Power Estimation Using Solar Radiation

Park¹,

Hong²,

Lim³

et al. 2020

Processes

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The photovoltaic (PV) industry is an important part of the renewable energy industry. With the growing use of PV systems, interest in their operation and maintenance (O&M) is increasing. In this regard, analyses of power generation efficiency and inverter efficiency are very important. The first step in efficiency analysis is solar power estimation based on environment sensor data. In this study, solar power was estimated using a univariate linear regression model. The estimated solar power data were cross-validated with the actual solar power data obtained from the inverter. The results provide information on the power generation efficiency of the inverter. The linear estimation model developed in this study was validated using a single PV system. It is possible to apply the coefficients presented in this study to other PV systems, even though the nature and error rates of the collected data may vary depending on the inverter manufacturer. To apply the proposed model to PV systems with different power generation capacities, reconstructing the model according to the power generation capacity is necessary.

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Section: Linear Regression Modelmentioning

confidence: 99%