Energy harvesting in wireless sensor networks: A comprehensive review
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DOI: 10.1016/j.rser.2015.11.010
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- Song, Malin & Zhang, Jie & Wang, Shuhong, 2015. "Review of the network environmental efficiencies of listed petroleum enterprises in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 65-71.
- Foley, Aoife M. & Leahy, Paul G. & Marvuglia, Antonino & McKeogh, Eamon J., 2012. "Current methods and advances in forecasting of wind power generation," Renewable Energy, Elsevier, vol. 37(1), pages 1-8.
- Kusiak, Andrew & Li, Mingyang & Zheng, Haiyang, 2010. "Virtual models of indoor-air-quality sensors," Applied Energy, Elsevier, vol. 87(6), pages 2087-2094, June.
- A. Helme-Guizon & M.-L. Gavard-Perret & D. Gotteland, 2008. "Collecter les données : l'enquête," Post-Print halshs-00325141, HAL.
- Constantin - Eugen CORNEL, 2015. "New Techniques For Implementing Online Virtual Laboratories," Internal Auditing and Risk Management, Athenaeum University of Bucharest, vol. 39(1), pages 55-64, September.
- Harb, Adnan, 2011. "Energy harvesting: State-of-the-art," Renewable Energy, Elsevier, vol. 36(10), pages 2641-2654.
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Keywords
Energy harvesting; Photovoltaic harvester; Piezoelectric harvester; Vibration harvester; Thermal harvester; Flow harvester; Wind harvester;All these keywords.
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