TY - GEN
T1 - On-Line Electrical Supply Generation Fuel Mix Data Analysis using Python and TensorFlow
AU - Grout, Ian
AU - De Ferreira, Willian Assis Pedrobon
AU - Silva, Alexandre Cesar Rodrigues Da
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/10
Y1 - 2019/10
N2 - In this paper, the Python scripting language and TensorFlow open source platform for machine learning is used to create a software script that can automatically extract electricity supply generation data from an on-line resource and use machine learning techniques to analyze the available data for the creation of end-user information. An on-line resource was chosen where the data could be readily extracted and stored in multi-dimensional TensorFlow arrays for analysis. The usefulness of such generated end-user information is however based on the accuracy of the information and any biases introduced in the data collation, data presentation, data analysis and results presentation, along with the perceptions of the enduser. With these considerations in mind, this paper focuses on the aspects relating to the creation, operation and use of the Python and TensorFlow script.
AB - In this paper, the Python scripting language and TensorFlow open source platform for machine learning is used to create a software script that can automatically extract electricity supply generation data from an on-line resource and use machine learning techniques to analyze the available data for the creation of end-user information. An on-line resource was chosen where the data could be readily extracted and stored in multi-dimensional TensorFlow arrays for analysis. The usefulness of such generated end-user information is however based on the accuracy of the information and any biases introduced in the data collation, data presentation, data analysis and results presentation, along with the perceptions of the enduser. With these considerations in mind, this paper focuses on the aspects relating to the creation, operation and use of the Python and TensorFlow script.
KW - analysis
KW - electricity supply generation
KW - monitoring
KW - on-line
KW - Python
KW - TensorFlow
UR - http://www.scopus.com/inward/record.url?scp=85078186896&partnerID=8YFLogxK
U2 - 10.1109/ICPEI47862.2019.8944972
DO - 10.1109/ICPEI47862.2019.8944972
M3 - Conference contribution
AN - SCOPUS:85078186896
T3 - Proceedings of the 2019 International Conference on Power, Energy and Innovations, ICPEI 2019
SP - 20
EP - 23
BT - Proceedings of the 2019 International Conference on Power, Energy and Innovations, ICPEI 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 International Conference on Power, Energy and Innovations, ICPEI 2019
Y2 - 16 October 2019 through 18 October 2019
ER -