Characterization of Daily Solar Radiation Intensity Based on In-Situ Data Using the BH1750 Sensor
DOI:
https://doi.org/10.22437/proca.v2i2.55521Keywords:
Radiation intensity, Sensor BH1750, Machine learningAbstract
This study aims to characterize the daily solar radiation intensity using in-situ data obtained from the BH1750 sensor. The measurement system was designed using the BH1750 light sensor, with data transmitted wirelessly to the ThingSpeak cloud platform for storage and analysis. Data collection was carried out over two consecutive days in an open area with a recording interval of one hour. The measurement results show that the intensity pattern on the first day reached its peak (approximately 62 kLx) at 12:00 noon. This pattern exhibits a nearly symmetric distribution, representing relatively clear and stable weather conditions around midday. In contrast, the second day’s peak intensity (around 65 kLx) occurred earlier, at 11:00, and rose again at 13:00, indicating sharp intensity fluctuations. These fluctuations resulted in two distinct local peaks before the intensity declined to zero at sunset. The differences in peak timing and daily fluctuation patterns highlight the need for further analysis using machine learning approaches to accurately model the complex and non-linear relationships within solar radiation data.
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Copyright (c) 2026 Jesi Pebralia, Yoza Fendriani, M. Ficky Afrianto, Frastica Deswardani, Alrizal
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