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Challenges in Predicting Smart Grid Stability Linked with Renewable Energy Resources Through Spark MLlib Learning Cover

Challenges in Predicting Smart Grid Stability Linked with Renewable Energy Resources Through Spark MLlib Learning

Open Access
|Dec 2025

Figures & Tables

Figure 1.

Architecture IoT connected objects [37].
Architecture IoT connected objects [37].

Figure 2.

Programming the MCU Board.
Programming the MCU Board.

Figure 3.

Intelligent building planning.
Intelligent building planning.

Figure 4.

Server interface to control the objects.
Server interface to control the objects.

Figure 5.

World energy consumption.
World energy consumption.

Figure 6.

General architecture of smart buildings.
General architecture of smart buildings.

Figure 7.

Overall energy consumption per month.
Overall energy consumption per month.

Figure 8.

Information about the data.
Information about the data.

Figure 9.

Consumption for devices.
Consumption for devices.

Figure 10.

Home activity in day 2021-10-4.
Home activity in day 2021-10-4.
DOI: https://doi.org/10.14313/jamris-2025-036 | Journal eISSN: 2080-2145 | Journal ISSN: 1897-8649
Language: English
Page range: 70 - 81
Submitted on: Apr 28, 2023
|
Accepted on: Sep 4, 2024
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Published on: Dec 24, 2025
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2025 Amal Zouhri, Ismail Boumhidi, Ismail Boumhidi, Abderahamane Ez-Zahout, Said Chakouk, Mostafa El Mallahi, published by Łukasiewicz Research Network – Industrial Research Institute for Automation and Measurements PIAP
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.