文件列表:

Notebook_IoB_power_centralized_Global_active_power.ipynb (207010, 2022-08-22)
Notebook_IoB_power_centralized_Sub_metering_1.ipynb (190108, 2022-08-22)
Notebook_IoB_power_centralized_Sub_metering_2.ipynb (167899, 2022-08-22)
Notebook_IoB_power_distributed.ipynb (416669, 2022-08-22)
Notrbook_IoB_power_centralized_Sub_metering_3.ipynb (212258, 2022-08-22)

# Decentralized-IoB-for-Influencing-IoT-based-Systems-Behavior This project is the implementation of the use case proposed in "Decentralized IoB for Influencing IoT-based Systems' Behavior" paper. An electrical power consumption decetralized IoB system that influences consumer behavior to reduce power consumption process has been built with a Sequence2Sequence time series predictive model, historical data analysis, and 4 centralzied IoB systems for each sub-meter. Dataset: https://archive.ics.uci.edu/ml/datasets/individual+household+electric+power+consumption Paper: https://ieeexplore.ieee.org/abstract/document/***39241 Authors: Haya Elayan, xAnalytics Inc., Ottawa, ON, Canada. E-mails: h.elayan@xanalytics.ca Moayad Aloqaily, Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI), UAE. E-mail: maloqaily@ieee.org Mohsen Guizani, Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI), UAE. E-mail: mguizani@ieee.org

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