Affordable ESP32-based monitoring system for microbial fuel cells: real-time analysis and performance evaluation (ESP32-based data logger as a monitoring system for microbial fuel cell)-Reference-Cited by-同舟云学术

Affordable ESP32-based monitoring system for microbial fuel cells: real-time analysis and performance evaluation (ESP32-based data logger as a monitoring system for microbial fuel cell)

Published:2023-09-19 Issue: Volume: Page:
ISSN:2538-3604
Container-title:International Journal of Energy and Water Resources
language:en
Short-container-title:Int J Energ Water Res

Author:

Indriyani Y. A.^ORCID,Efendi R.^ORCID,Rustami E.^ORCID,Rusmana I.^ORCID,Anwar S.^ORCID,Djajakirana G.^ORCID,Santosa D. A.^ORCID

Funder

Kementerian Riset Teknologi Dan Pendidikan Tinggi Republik Indonesia

Publisher

Springer Science and Business Media LLC

Subject

General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s42108-023-00255-y.pdf

Reference62 articles.

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2. Ali, N., Anam, M., Yousaf, S., Maleeha, S., & Bangash, Z. (2017). Characterization of the electric current generation potential of the pseudomonas aeruginosa using glucose, fructose, and sucrose in double chamber microbial fuel cell. Iranian Journal of Biotechnology, 15(4), 216–223. https://doi.org/10.15171/ijb.1608

3. Allafi, I., & Iqbal, T. (2017, 22–25 October 2017). Design and implementation of a low cost web server using ESP32 for real-time photovoltaic system monitoring. In: 2017 IEEE Electrical Power and Energy Conference (EPEC), Saskatoon, SK, Canada.

4. Babiuch, M., Foltýnek, P., & Smutný, P. (2019, 26–29 May 2019). Using the ESP32 Microcontroller for Data Processing. In: 2019 20th International Carpathian Control Conference (ICCC), Krakow - Wieliczka; Poland.

5. Capodaglio, A. G., Molognoni, D., Dallago, E., Liberale, A., Cella, R., Longoni, P., & Pantaleoni, L. (2013). Microbial fuel cells for direct electrical energy recovery from urban wastewaters. The Scientific World Journal, 2013, 634738. https://doi.org/10.1155/2013/634738