Információk az e-könyvről
- Delineates key components shaping the design and implementation of local electricity market structure
- Provides a coherent view on the enabling infrastructures and technologies that underpin local market expansion
- Explores the current regulatory environment for local electricity markets drawn from a global panel of contributors
- Exposes future paths toward widespread implementation of local electricity markets using an empirical review of barriers and opportunities
- Reviews relevant local electricity market case studies, pilots and demonstrators already deployed and under implementation
A szerzőről
Tiago Pinto (Lecturer, BISITE research group, University of Salamanca, Spain) works in the application of AI techniques to the study of electricity markets, specifically in the decision support of negotiating agents. He has been involved in several research projects involving the development and use of: Multi-Agent systems, Machine Learning algorithms, Knowledge-Based systems, Game Theory, Neural Networks, Genetic Algorithms, Particle Swarm Intelligence, and Data Mining. He is particularly interested in electricity markets, addressing the decision-support for market participants, negotiation strategies, machine learning and agent-based market simulation. He is also interested in smart grids, accommodating an intensive use of Renewable Energy Sources, Distributed Energy Resources (DER) and Distributed Generation (DG), addressing the management of energy resources and the negotiation of DER in electricity markets. He has authored over 150 publications in international journals and conferences. He has co-edited several books and special issues in journals related to power and energy systems and artificial intelligence.
Zita Vale (GECAD research group, Polytechnic of Porto, Portugal) is Professor at the School of Engineering (ISEP) of the Polytechnic of Porto (IPP) and Director of GECAD – Research Group on Intelligent Engineering and Computing for Advanced Innovation and Developments. Her main interests regard the application of Artificial Intelligence Techniques to Power systems, including Knowledge based systems, Multi-agent systems, Neural Networks, Meta-heuristics, Optimization, Machine Learning, and Knowledge Discovery Techniques. She has been involved in more than 40 R&D projects from which she coordinated more than 20 projects. She is principally interested in Smart Grids, with an intensive use of Renewable Energy Sources, Distributed Energy Resources and Distributed Generation, addressing the management of energy resources, the negotiation of DER in electricity markets, demand response, and electric vehicles. She is also interested in electricity markets, addressing prices and tariffs, decision-support for market participants, ancillary services, derivatives market, pricing and market simulation.
Steve Widergren (Principal Engineer, Pacific Northwest National Laboratory, USA) is interested in the application of information technology to power engineering problems including simulation, control, and system integration. He was the founding Administrator for the GridWise Architecture Council – a group formed to enable interoperability of automated systems related to the electric system. Prior to joining the Laboratory, Mr. Widergren was a corporate engineer at ESCA, now GE, an electricity control center supplier. Prior to that, he worked at American Electric Power and interned at Pacific Gas and Electric. In these positions, he engineered and managed energy management systems products for electric power operations and supported power system computer applications.
