Low-Cost Sensors for Indoor PV Energy Harvesting Estimation Based on Machine Learning
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References listed on IDEAS
- Ben Minnaert & Peter Veelaert, 2014. "A Proposal for Typical Artificial Light Sources for the Characterization of Indoor Photovoltaic Applications," Energies, MDPI, vol. 7(3), pages 1-17, March.
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- Insu Kim & Beopsoo Kim & Denis Sidorov, 2022. "Machine Learning for Energy Systems Optimization," Energies, MDPI, vol. 15(11), pages 1-8, June.
- Mitsuhide Sato & Takuto Takemura & Tsutomu Mizuno, 2022. "Voltage Improvement of a Swing-Magnet-Type Generator for Harvesting Bicycle Vibrations," Energies, MDPI, vol. 15(13), pages 1-14, June.
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Keywords
energy harvesting; IoT; low-cost; light source classification; indoor light analysis;All these keywords.
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