Data-Driven Energy Management and Tariff Optimization in Power Systems : Shaping the Future of Electricity Distribution through Analytics

Presents a comprehensive guide to transforming power systems through data Data-Driven Energy Management and Tariff Optimization in Power Systems offers an authoritative examination of how data science is reshaping the energy landscape.As the electricity sector grapples with increasing complexity, this timely volume responds to a growing demand for adaptive strategies that enable accurate forecasting, intelligent tariff design, and optimized resource allocation, underpinned by advanced analytics and machine learning.Drawing on global expertise and real-world case studies, the authors bridge the theoretical and practical dimensions of energy systems management, providing deep insight into how data collected from smart meters, SCADA systems, and IoT devices can be mined for predictive modeling, demand response, and peak load management.The book's accessible structure and didactic approach make it suitable for a wide readership, while its breadth of topics ensures relevance across the spec