This book presents research results of PowerWeb, TU Delft's consortium for interdisciplinary research on intelligent, integrated energy systems and their role in markets and institutions. In operation since 2012, it acts as a host and information platform for a growing number of projects, ranging from single PhD student projects up to large integrated and international research programs. The group acts in an inter-faculty fashion and brings together experts from electrical engineering, computer science, mathematics, mechanical engineering, technology and policy management, control engineering, civil engineering, architecture, aerospace engineering, and industrial design. The interdisciplinary projects of PowerWeb are typically associated with either of three problem domains: Grid Technology, Intelligence and Society. PowerWeb is not limited to electricity: it bridges heat, gas, and other types of energy with markets, industrial processes, transport, and the built environment, serving as a singular entry point for industry to the University's knowledge. Via its Industry Advisory Board, a steady link to business owners, manufacturers, and energy system operators is provided.

"Mitigating Paradox at the eSociety Tipping Point" In the first two decades of the past Century, having as driving factor the automobile and its mass production, the command economy has radically changed our lifestyles, enabling the creation of offices, suburbs, fast food restaurants and unified school d- tricts. With the Internet as driving factor, socio-technical and industrial eNetworked ecosystems are about to change our lives again in these two decades of the twenty-first century, and we are just approaching the tipping point. As we have just reached the point where the tremendous changes fueled by concerted efforts in information communication technologies (ICT) research are unraveling the old society this is creating a lot of d- comfort, confusion and sometimes opposition from the traditional mainstream. This disconnect is being deepened even more by the rocketing speed of technological ICT advances. As technology is getting ahead of society, the old ways, although still do- nant, become more and more dysfunctional and we are experiencing an "age of pa- dox" as the new ways disrupt the way we used to do things and even the way we used to think about the world. Just like the major inventions that shaped the last century were made by 1920, it is expected that the major inventions that will shape the twen- first century are going to be made by 2020.

This book presents research results of PowerWeb, TU Delft's consortium for interdisciplinary research on intelligent, integrated energy systems and their role in markets and institutions. In operation since 2012, it acts as a host and information platform for a growing number of projects, ranging from single PhD student projects up to large integrated and international research programs. The group acts in an inter-faculty fashion and brings together experts from electrical engineering, computer science, mathematics, mechanical engineering, technology and policy management, control engineering, civil engineering, architecture, aerospace engineering, and industrial design. The interdisciplinary projects of PowerWeb are typically associated with either of three problem domains: Grid Technology, Intelligence and Society. PowerWeb is not limited to electricity: it bridges heat, gas, and other types of energy with markets, industrial processes, transport, and the built environment, serving as a singular entry point for industry to the University's knowledge. Via its Industry Advisory Board, a steady link to business owners, manufacturers, and energy system operators is provided.

Demand-side management (DSM) and peak load management are common techniques in contemporary energy supply. This thesis investigates how new concepts and technologies in computer science and electrical engineering can be applied to the problem of demand-side management. Individual energy consumers are equipped with some computing power and integrated into a communications network. These two measures enable them to cooperate with each other perform DSM. The aim of this thesis is to examine how distributed artificial intelligence integrates with industrial networks to form a new generation of DSM. The result is a highly distributed system that uses parallel genetic algorithms or negotiation strategies. This system has an advantage over former DSM systems in that it is more flexible and scalable. The performance of the algorithms is tested and evaluated by simulation.