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E-CRADLE v1.1 - An improved distributed system for Photovoltaic Informatics

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2016, Master of Sciences, Case Western Reserve University, EECS - Computer and Information Sciences.
Solar energy is becoming a more important energy source. With the photovoltaic industry experiencing its unprecedented growth in the past decade, the study of PV modules and their durability and lifetime performance is playing an important role in making solar energy a better, more reliable product. To facilitate PV analytics, a distributed system, called E-CRADLE was developed in 2013. Based on that, a number of improvements have been made forming the E-CRADLE v1.1. The improvements include: a monitoring system, a new database schema for PV data, and an easy way to process PV data. The monitoring system ensures the system is working properly. The new database schema is designed for PV data in a NoSQL database. And its universal design ensures it works with our old data as well as data in the future. The new way to process PV data makes distributed computing power accessible even to non-programmers.
Guo Qiang Zhang (Committee Chair)
Roger French (Committee Co-Chair)
Mingguo Hong (Committee Member)
67 p.

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Citations

  • Zhao, P. (2016). E-CRADLE v1.1 - An improved distributed system for Photovoltaic Informatics [Master's thesis, Case Western Reserve University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=case1449001689

    APA Style (7th edition)

  • Zhao, Pei. E-CRADLE v1.1 - An improved distributed system for Photovoltaic Informatics. 2016. Case Western Reserve University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=case1449001689.

    MLA Style (8th edition)

  • Zhao, Pei. "E-CRADLE v1.1 - An improved distributed system for Photovoltaic Informatics." Master's thesis, Case Western Reserve University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=case1449001689

    Chicago Manual of Style (17th edition)