JOURNAL ARTICLE

Autoregression test of solar photovoltaic energy generation

Abstract

The photovoltaic (PV) generation spreads over the world breezily. The PV cells designed for different conditions are tested in laboratories. One of the key of the PV application is the project economy appraisal that estimates the produced energy. The practical energy generation is disturbed by meteorological events (shower, precipitation, thermal circumstances) that influence the ideal production. In this paper a methodology is shown that through special autoregression method filters the noises and disturbances from the measured energy production curves and makes possible to measure the real "practical" production characteristics of the PV panels. These results help to fit better the DC/AC inverters to the strings and also to make more reasonable investment project plans.

Keywords:
Photovoltaic system Production (economics) Solar energy Electricity generation Vector autoregression Investment (military) Energy (signal processing) Computer science Environmental science Renewable energy Reliability engineering Environmental economics Automotive engineering Engineering Meteorology Econometrics Electrical engineering Economics Mathematics Statistics Physics Power (physics)

Metrics

7
Cited By
2.48
FWCI (Field Weighted Citation Impact)
5
Refs
0.92
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Spacecraft Design and Technology
Physical Sciences →  Engineering →  Aerospace Engineering
Solar Radiation and Photovoltaics
Physical Sciences →  Computer Science →  Artificial Intelligence
solar cell performance optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering

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