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Dikötter F: Red Dawn Over China

Red Dawn Over China

How Communism Conquered a Quarter of Humanity

Persians, Parsis and the Flowering of Political Identity

Zoroastrianism in India and Iran

Swimming Scandinavia in Search of a Better Life

The Year I Lay My Head in Water

The Years of Travelling Anxiously

A People’s History

Taiwan

Histories of Internationalism

Envisioning Modernity in the Era of Decolonization

Socialism, Internationalism, and Development in the Third World

Routledge International Handbooks

The Routledge International Handbook of Ethnographic Film and Video

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 spectrum of energy challenges. Integrating rigorous analysis with application-oriented strategies, this book: <ul> <li>Presents advanced techniques in machine learning, predictive modeling, and pattern recognition tailored to energy management and tariff design</li> <li>Provides accessible explanations of complex algorithms through a didactic and visual teaching style, including informative tables and illustrations</li> <li>Highlights tools for grid stability, demand forecasting, and peak load management using high-resolution energy data</li> <li>Addresses the integration of renewable energy sources into existing infrastructures through data-driven optimization</li> </ul> Designed for a broad audience, Data-Driven Energy Management and Tariff Optimization in Power Systems is ideal for upper-level undergraduate and graduate courses in energy management, power systems analytics, and smart grids as part of electrical engineering or energy policy programs. It is also an essential reference for power system engineers, energy analysts, researchers, and policymakers involved in grid planning and optimization.

Shaping the Future of Electricity Distribution through Analytics

Data-Driven Energy Management and Tariff Optimization in Power Systems

The Cultural Revolution in China

A History of Third World Feminism Against Authoritarianism

The Future That Was

Becoming a Voice for Young People

A resurgent liberalism has become hegemonic in Philippine media and academic discourses, which were previously characterized by progressive and nationalist perspectives. While resurgent Philippine liberalism (RPL) has been precipitated by recent and current crises.

Critical Perspectives on Resurgent Philippine Liberalism

The Elite Center Cannot Hold

A Contested History

The Idea of China

Red Dawn Over China

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