Energy Smart Environments Podcast, S01, E09از شبکه هوشمند انرژی تا پیچیدگی و آشوب: یک دهه با مهندسی ویژگی اِم‌اِل‌آپس (MLOps Feature Engineer)تولید شده با مهندسی پرامپت غزل قاسم‌زاده ابیانه، علی شکوهی بهار و دکتر نیما سالک گیلانی، توسط گوگل نوت‌بوک‌اِل‌اِم، با بهره‌گیری از پرپلکسیتی و جمینایAt:https://t.me/EnergySmartEnvironmentshttps://open.spotify.com/show/0XA8FDCDFQDMOzP3hB3PFNhttps://music.amazon.com/es-us/podcasts/eb669333-3ec8-43df-a7f9-78b5a249aff9/energy-smart-environments-castReferences:[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, 2023Energy Smart Environments Podcast, S01, E10From Energy Smart Grid to Complexity and Chaos: A Decade of MLOps Feature EngineeringGenerated 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/EnergySmartEnvironmentshttps://open.spotify.com/show/0XA8FDCDFQDMOzP3hB3PFNhttps://music.amazon.com/es-us/podcasts/eb669333-3ec8-43df-a7f9-78b5a249aff9/energy-smart-environments-castReferences:[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