Artificial Intelligence for Energy Efficiency

The book Artificial Intelligence for Energy Efficiency pairs computational algorithms with physical principles governing electrical machinery and power networks to improve operational efficiency across modern infrastructure. This text introduces unified frameworks that merge data-driven techniques with traditional engineering concepts. It targets graduate students in electrical, mechanical, architectural, and energy engineering disciplines.

To bridge theory and implementation, the work offers structured reference designs tailored to core hardware and municipal systems. Readers explore technical blueprints for energy-efficient motor controls, heating, ventilation, and air conditioning equipment, alongside systems for intelligent building management and sustainable urban networks.

Additionally, the volume directly addresses computational resource consumption by evaluating the energy required to execute complex algorithmic calculations. It outlines actionable methods to decrease electrical draw during high-performance processing tasks. This material provides practical guidance for industry professionals and academic researchers seeking sustainable technical strategies.