Document Type

Conference Proceeding

Publication Date

8-2024

Subject: LCSH

Automatic data collection systems, Data mining, Internet of things, Photovoltaic power systems, Renewable energy sources, Photovoltaic power generation

Disciplines

Computer Engineering | Computer Sciences | Electrical and Computer Engineering

Abstract

The transition to low-carbon energy systems, driven by climate change and fossil fuel scarcity, highlights technologies, such as Photovoltaic (PV) technology, for sustainable energy generation. This paper focuses on enhancing the efficiency of PV monitoring systems by leveraging Internet of Things (IoT) technology for accurate and real-time monitoring of essential parameters, such as voltage, current, and output power. Significant gaps in cost-effective and reliable IoT integration for PV monitoring are addressed, with an emphasis on predictive modeling. In this regard, a low-cost real-time IoT-based data acquisition and monitoring system for PV systems, as a proof of concept for future endeavors in predictive modeling, is introduced in this paper. The methodology and data preparation are discussed, and the experimental results are analyzed to validate the effectiveness of the designed data acquisition and monitoring system.

Comments

This conference proceeding was presented at the 2024 3rd International Conference on Power Systems and Electrical Technology (PSET).

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