Energy Smart Environments Podcast, S01, E08
Book Review:
"Control Systems: A Historical and Philosophical Perspective", by Professor Ali Khaki-Sedigh,
Springer Nature, 2025

https://news.1rj.ru/str/EnergySmartEnvironments

Generated by: Google NotebookLM

https://link.springer.com/book/10.1007/978-981-96-7426-8

کانال پادکست محیط‌های هوشمند انرژی
Energy Smart Environments Chanel

energy smart environments podcast is avalable at:

https://news.1rj.ru/str/EnergySmartEnvironments

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

https://podcast.app/energy-smart-environments-cast-p6995492

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

https://www.iheart.com/podcast/1333-energy-smart-environments-278532986/

Energy Smart Environments Podcast, S01, E09 & 10

از شبکه هوشمند انرژی تا پیچیدگی و آشوب: یک دهه با مهندسی ویژگی اِم‌اِل‌آپس (MLOps Feature Engineer)
تولید شده با طراحی، نظارت و ویرایش انسانی مهندسین پرامپت: غزل قاسم‌زاده ابیانه، علی شکوهی بهار و دکتر نیما سالک گیلانی، توسط گوگل نوت‌بوک‌اِل‌اِم، با بهره‌گیری از پرپلکسیتی و جمینای

From Energy Smart Grid to Complexity and Chaos: A Decade of MLOps Feature Engineering
Generated under human design, supervision and edit of Prompt Engineers: Ghazal Ghasemzadeh Abyaneh, Ali Shokoohi Bahar and Dr Nima Salek-Gilani, by Google NotebookLM, utilizing Perplexity and Gemini.

Available at:
https://news.1rj.ru/str/EnergySmartEnvironments
https://open.spotify.com/show/0XA8FDCDFQDMOzP3hB3PFN
https://podcast.app/energy-smart-environments-cast-p6995492
https://shows.acast.com/energy-smart-environments-cast
https://music.amazon.com/es-us/podcasts/eb669333-3ec8-43df-a7f9-78b5a249aff9/energy-smart-environments-cast
https://www.iheart.com/podcast/1333-energy-smart-environments-278532986/

References:
[1] A. Fereidunian, et al "A complex adaptive system of systems approach to human–automation interaction in smart grid", In: Contemporary issues in systems science and engineering, pp.425-500, Wiley, 2015.
[2] Z. Iranpour Mobarakeh, et al. "Feature Engineering-Empowered MLOps for Smart Grid Failure Prediction Software", In Proc. of the ISGT Europe 2025, Malta, Oct. 19-23, 2025.
[3] A. Pourafzal & A. Fereidunian, "A Complex Systems Approach To Feature Extraction For Chaotic Behavior Recognition", In Proc. of the 2020 6th Iranian Conference on Signal Processing and Intelligent Systems (ICSPIS), Mashhad, Iran, 2020, doi: 10.1109/ICSPIS51611.2020.9349551
[4] K. Safarihamid, A. Pourafzal & A. Fereidunian, "A Joint-Entropy Approach To Time-series Classification", In Proc. of the 2021 7th International Conference on Signal Processing and Intelligent Systems (ICSPIS), Tehran, Iran, 2021, doi: 10.1109/ICSPIS54653.2021.9729371,
[5] A. Pourafzal, A. Fereidunian & K. Safarihamid, "Chaotic time series recognition: a deep learning model inspired by complex systems characteristics", International Journal of Engineering, 36(1), 1-9, 2023.

Energy Smart Environments Podcast, S01, E09
از 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 جمینای
At:
https://news.1rj.ru/str/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

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://news.1rj.ru/str/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