William Holderbaum – författare

This book describes the stochastic and predictive control modelling of electrical systems that can meet the challenge of forecasting energy requirements under volatile conditions.The global electrical grid is expected to face significant energy and environmental challenges such as greenhouse emissions and rising energy consumption due to the electrification of heating and transport. Today, the distribution network includes energy sources with volatile demand behaviour, and intermittent renewable generation. This has made it increasingly important to understand low voltage demand behaviour and requirements for optimal energy management systems to increase energy savings, reduce peak loads, and reduce gas emissions.Electrical load forecasting is a key tool for understanding and anticipating the highly stochastic behaviour of electricity demand, and for developing optimal energy management systems. Load forecasts, especially of the probabilistic variety, can support moreinformed planning and management decisions, which will be essential for future low carbon distribution networks. For storage devices, forecasts can optimise the appropriate state of control for the battery. There are limited books on load forecasts for low voltage distribution networks and even fewer demonstrations of how such forecasts can be integrated into the control of storage.This book presents material in load forecasting, control algorithms, and energy saving and provides practical guidance for practitioners using two real life examples: residential networks and cranes at a port terminal.

This book describes the stochastic and predictive control modelling of electrical systems that can meet the challenge of forecasting energy requirements under volatile conditions.The global electrical grid is expected to face significant energy and environmental challenges such as greenhouse emissions and rising energy consumption due to the electrification of heating and transport. Today, the distribution network includes energy sources with volatile demand behaviour, and intermittent renewable generation. This has made it increasingly important to understand low voltage demand behaviour and requirements for optimal energy management systems to increase energy savings, reduce peak loads, and reduce gas emissions.Electrical load forecasting is a key tool for understanding and anticipating the highly stochastic behaviour of electricity demand, and for developing optimal energy management systems. Load forecasts, especially of the probabilistic variety, can support moreinformed planning and management decisions, which will be essential for future low carbon distribution networks. For storage devices, forecasts can optimise the appropriate state of control for the battery. There are limited books on load forecasts for low voltage distribution networks and even fewer demonstrations of how such forecasts can be integrated into the control of storage.This book presents material in load forecasting, control algorithms, and energy saving and provides practical guidance for practitioners using two real life examples: residential networks and cranes at a port terminal.

This book highlights the mathematical depth and sophistication of techniques used in different areas of robotics. Each chapter is a peer-reviewed version of a paper presented during the 2021 IMA Conference on the Mathematics of Robotics, held online September 8–10, 2021. The conference gave a platform to researchers with fundamental contributions and for academic and to share new ideas. The book illustrates some of the current interest in advanced mathematics and robotics such as algebraic geometry, tropical geometry, monodromy and homotopy continuation methods applied to areas such as kinematics, path planning, swam robotics,  dynamics and control. It is hoped that the conference and this publications will stimulate further related mathematical research in robotics.

This book highlights the mathematical depth and sophistication of techniques used in different areas of robotics. Each chapter is a peer-reviewed version of a paper presented during the 2021 IMA Conference on the Mathematics of Robotics, held online September 8–10, 2021. The conference gave a platform to researchers with fundamental contributions and for academic and to share new ideas. The book illustrates some of the current interest in advanced mathematics and robotics such as algebraic geometry, tropical geometry, monodromy and homotopy continuation methods applied to areas such as kinematics, path planning, swam robotics,  dynamics and control. It is hoped that the conference and this publications will stimulate further related mathematical research in robotics.

This comprehensive open access book enables readers to discover the essential techniques for load forecasting in electricity networks, particularly for active distribution networks.From statistical methods to deep learning and probabilistic approaches, the book covers a wide range of techniques and includes real-world applications and a worked examples using actual electricity data (including an example implemented through shared code). Advanced topics for further research are also included, as well as a detailed appendix on where to find data and additional reading. As the smart grid and low carbon economy continue to evolve, the proper development of forecasting methods is vital. This book is a must-read for students, industry professionals, and anyone interested in forecasting for smart control applications, demand-side response, energy markets, and renewable utilization.

This comprehensive open access book enables readers to discover the essential techniques for load forecasting in electricity networks, particularly for active distribution networks.From statistical methods to deep learning and probabilistic approaches, the book covers a wide range of techniques and includes real-world applications and a worked examples using actual electricity data (including an example implemented through shared code). Advanced topics for further research are also included, as well as a detailed appendix on where to find data and additional reading. As the smart grid and low carbon economy continue to evolve, the proper development of forecasting methods is vital. This book is a must-read for students, industry professionals, and anyone interested in forecasting for smart control applications, demand-side response, energy markets, and renewable utilization.

Dieses Buch beschreibt die stochastische und prädiktive Kontrollmodellierung elektrischer Systeme, die die Herausforderung der Vorhersage des Energiebedarfs unter volatilen Bedingungen bewältigen kann.Es wird erwartet, dass das globale Stromnetz mit bedeutenden Energie- und Umweltherausforderungen konfrontiert wird, wie z. B. Treibhausgasemissionen und steigender Energieverbrauch aufgrund der Elektrifizierung von Heizung und Verkehr. Heute umfasst das Verteilungsnetz Energiequellen mit unbeständigem Nachfrageverhalten und intermittierender erneuerbarer Erzeugung. Daher wird es immer wichtiger, das Nachfrageverhalten im Niederspannungsbereich und die Anforderungen an optimale Energiemanagementsysteme zu verstehen, um Energieeinsparungen zu erzielen, Lastspitzen zu reduzieren und Gasemissionen zu verringern.Elektrische Lastprognosen sind ein wichtiges Instrument, um das hochgradig stochastische Verhalten der Stromnachfrage zu verstehen und zu antizipieren und um optimaleEnergiemanagementsysteme zu entwickeln. Lastprognosen, insbesondere probabilistische Prognosen, können fundiertere Planungs- und Managemententscheidungen unterstützen, was für künftige kohlenstoffarme Verteilungsnetze von entscheidender Bedeutung sein wird. Bei Speichervorrichtungen können Prognosen den geeigneten Kontrollzustand der Batterie optimieren. Es gibt nur wenige Bücher über Lastprognosen für Niederspannungsnetze und noch weniger Beispiele dafür, wie solche Prognosen in die Steuerung von Speichern integriert werden können.Dieses Buch stellt Material zu Lastprognosen, Regelungsalgorithmen und Energieeinsparungen vor und bietet praktische Anleitungen für Praktiker anhand von zwei Beispielen aus dem wirklichen Leben: Wohnnetze und Kräne in einem Hafenterminal.

This book presents the proceedings of the Third IMA Conference on Mathematics of Robotics, held in Manchester in September 2025. It brings together a diverse collection of contributions that reflect the increasing role of mathematics in addressing fundamental problems in robotics.This book covers a wide range of methods including algebraic geometry, control theory, numerical optimisation, and topological data analysis, applied to topics such as kinematics, motion planning, soft robotics, and multi agent systems. The breadth of contributions, both in subject matter and in international participation, highlights the growing global community at the interface of mathematics and robotics.Alongside rigorously reviewed research papers, this book also features keynote lectures addressing themes such as uncertainty quantification and geometric approaches to robotic manipulation. Together, these works provide a valuable reference for mathematicians, engineers, and researchers seeking to advance the theoretical foundations and practical capabilities of robotics.