Shedding Light on the Performance of Solar Panels
Autor: | Saket Sathe, Arun Vishwanath, Sue Ann Chen, Shivkumar Kalyanaraman |
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Rok vydání: | 2016 |
Předmět: |
Computer science
Pv generation 020209 energy Yield (finance) Geography Planning and Development Photovoltaic system 02 engineering and technology 021001 nanoscience & nanotechnology Automotive engineering Data-driven Data set Northern australia 0202 electrical engineering electronic engineering information engineering General Earth and Planetary Sciences 0210 nano-technology Simulation Water Science and Technology |
Zdroj: | ACM SIGKDD Explorations Newsletter. 17:24-36 |
ISSN: | 1931-0153 1931-0145 |
Popis: | The significant adoption of solar photovoltaic (PV) systems in both commercial and residential sectors has spurred an interest in monitoring the performance of these systems. This is facilitated by the increasing availability of regularly logged PV performance data in recent years. In this paper, we present a data-driven framework to systematically characterise the relationship between performance of an existing photovoltaic (PV) system and various environmental factors. We demonstrate the efficacy of our proposed framework by applying it to a PV generation dataset from a building located in northern Australia. We show how, in light of limited site-specific weather information, this data set may be coupled with publicly available data to yield rich insights on the performance of the building's PV system. |
Databáze: | OpenAIRE |
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