The book Applications of Machine Learning in Smart Operation of Power Systems, authored by Dr. Mohammad-Taqi Ameli (faculty member, Department of Electrical Engineering—Control and Power, Shahid Beheshti University), along with Ali Sharifzadeh and Sasan Azad (MSc and PhD students at the university), has been published. The book was first released in 1404 in 262 pages (vaziri format), by Shahid Beheshti University Press, and is available at a price of 2,400,000 rials.
Because of its critical nature—as well as the use of costly equipment and its extensive scale—the electricity industry and power networks have consistently been at the forefront of adopting the latest technological concepts and achievements. While many of these concepts may have originated in other fields, they have been adapted and applied in power systems to address operational challenges. Among the concepts that have received significant attention and have rapidly advanced in recent years are various approaches to smartening power grids and machine learning.
With the expansion of industries and changing patterns of generation and consumption in large-scale power networks, the volume of exchanged data has grown substantially, and the penetration of devices such as phasor measurement units (PMUs) has increased. These developments have led to the generation of new information at very short time intervals and improved measurement accuracy. Decision-making has increasingly shifted toward real-time operation, and the computational burden has become significantly heavier. Under these conditions, conventional methods for network modeling and event simulation have faced delays. As a result, data-driven approaches—particularly methods that do not require extensive simulation, complex calculations, or hard-to-model relationships—have gained prominence, placing machine learning methods at the center of attention.
Considering the importance, scope, and characteristics of these topics, the authors set out to compile an appropriate reference work drawing on personal experience as well as the latest research. The book examines selected applications of machine learning in the operation and control of power networks and is intended for researchers in this field as well as industry practitioners, supporting broader adoption and dissemination of modern methods in Iran’s electricity sector and other industries.
Students and interested readers can purchase the book in person from the Sales Office of the Center for Publishing Scientific Works at Shahid Beheshti University, located in the Information Technology (IT) Building, ground floor, or place an online order through the Center’s website. The electronic version is also available for purchase via the Fidibo and Taghcheh platforms.