AI for Energy Efficiency https://WebToolTip.com Published 3/2026
Created by Ayoub OUBOURHIM
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 59 Lectures ( 5h 18m ) | Size: 3.68 GB
Build end-to-end energy ML: feature engineering, Random Forest, drift/SPC, SHAP explainability & operations workflows
What you'll learn
✓ Apply AI and data analytics to improve energy efficiency and move from traditional audits to intelligent, data-driven optimization.
✓ Understand and prepare energy datasets for machine learning using real industrial and building energy data workflows.
✓ Build Python data pipelines for energy monitoring, cleaning, feature engineering, and automated energy performance analysis.
✓ Develop predictive machine learning models to forecast consumption, detect anomalies, and support energy decision-making.
Requirements
● Basic understanding of engineering or energy systems is helpful
● Basic Python recommended (variables, functions, Pandas ,Numpy Scikit Learn)
● A computer capable of running Python (Anaconda (Jupyter Notebook) or Google Colab recommended).
● Motivation to learn AI applications in energy and sustainability.