S. C. Brofferio, A. Antonini, G. Galimberti and D. Galeri, “A Method for Estimating and Monitoring the Power Generated by a Photovoltaic Module Based on Supervised Adaptive Neural networks,” Smart Measurements for Future Grids (SMFG), 2011 IEEE International Conference, 2011, pp. 148-153.

has been cited by the following article:

• TITLE: Cost-effective Energy Monitoring of Domestic Off-grid PV Systems

  AUTHORS: Arthur James Swart, Ruaan Schoeman, Christo Pienaar

  KEYWORDS: Off-grid PV System; Data Logging; Current Sensor; Differential Amplifier

  JOURNAL NAME: Energy and Power Engineering, Vol.5 No.4B, October 15, 2013

  ABSTRACT: Domestic off-grid renewable energy systems have become common place in many areas of the world, as humanity seeks to keep abreast with global technological changes and advancements. This paper aims to present a cost-effective energy monitoring system which may be used to analyze and evaluate the operation of a domestic off-grid PV system. Parameters which are monitored include the output voltage and current from a 55 W polycrystalline PV panel. The output voltage and current from a power regulation circuit (which could be a DC-DC converter, solar charger or MPPT) is also monitored with this singular system which incorporates a data logging interface circuit, a data logger and a personal computer.