Energy Smart Environments Podcast, S01, E10

From Energy Smart Grid to Complexity and Chaos: A Decade of MLOps Feature Engineering

Generated by Prompt Engineering: Ghazal Ghasemzadeh Abyaneh, Ali Shokoohi Bahar and Dr Nima Salek-Gilani, by Google NotebookLM, utilizing Perplexity and Gemini.

At:
https://t.me/EnergySmartEnvironments

https://open.spotify.com/show/0XA8FDCDFQDMOzP3hB3PFN

https://music.amazon.com/es-us/podcasts/eb669333-3ec8-43df-a7f9-78b5a249aff9/energy-smart-environments-cast

References:
[1] A complex adaptive system of systems approach to human–automation interaction in smart grid, Wiley, 2015.
[2] Feature Engineering-Empowered MLOps for Smart Grid Failure Prediction Software, ISGT Europe 2025
[3] A Complex Systems Approach To Feature Extraction For Chaotic Behavior Recognition, ICSPIS 2020
[4] A Joint-Entropy Approach To Time-series Classification, ICSPIS 2021,
[5] Chaotic time series recognition: a deep learning model inspired by complex systems characteristics, IJE, 2023