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Integration of Distributed Resources in Smart Grids for Demand Response and Transactive Energy
The proliferation of renewable energy enhances the sustainability of power systems, but the inherent variability also poses great challenges to the planning and operation of large power grids. The corresponding electric power deficiencies can be compensated by fast ramping generators and energy storage devices. However, frequent ramp up/down power adjustments can increase the operation and the maintenance cost of generators. Moreover, storage devices are regarded as costly alternatives. Demand response (DR) and transactive energy can address this problem owing to its attractive and versatile capability for balancing the supply-demand, improving energy efficiency, and enhancing system resilie...
International Conference on Electrical, Control and Automation （ICECA 2014）
International Conference on Electrical, Control and Automation （ICECA 2014）will be held from February 22nd to 23rd, 2014 in Shanghai, China. CECA 2014 will bring together top researchers from Asian Pacific areas, North America, Europe and around the world to exchange research results and address open issues in all aspects of Electrical, Control and Automation. The ICECA 2014 welcomes the submission of original full research papers, short papers, posters, workshop proposals, tutorials, and industrial professional reports.
ENERGY, ENVIRONMENTAL and SUSTAINABLE ECOSYSTEM DEVELOPMENT - INTERNATIONAL CONFERENCE on ENERGY, ENVIRONMENTAL and SUSTAINABLE ECOSYSTEM DEVELOPMENT (EESED 2015)
In the rapid development of global economics, energy, environmental & ecosystem are recognized as important factors for sustainable development in human society. The application of measurement and control technology also play a very important role in the utilization and protection of energy and the environment.2015 International Conference on Energy, Environmental & Sustainable Ecosystem Development (EESED 2015) is a multidisciplinary international conference that provides a platform for scientists, engineers and researchers worldwide to share their ideas and present solutions to energy, environmental & sustainable ecosystem development issues.
Energy, Environmental & Sustainable Ecosystem Development - International Conference On Energy, Environmental & Sustainable Ecosystem Development (Eesed 2015)
In the rapid development of global economics, energy, environmental & ecosystem are recognized as important factors for sustainable development in human society. The application of measurement and control technology also play a very important role in the utilization and protection of energy and the environment.2015 International Conference on Energy, Environmental & Sustainable Ecosystem Development (EESED 2015) is a multidisciplinary international conference that provides a platform for scientists, engineers and researchers worldwide to share their ideas and present solutions to energy, environmental & sustainable ecosystem development issues.
Deep Learning and Its Applications for Vehicle Networks
Deep Learning (DL) is an effective approach for AI-based vehicular networks and can deliver a powerful set of tools for such vehicular network dynamics. In various domains of vehicular networks, DL can be used for learning-based channel estimation, traffic flow prediction, vehicle trajectory prediction, location-prediction-based scheduling and routing, intelligent network congestion control mechanism, smart load balancing and vertical handoff control, intelligent network security strategies, virtual smart and efficient resource allocation and intelligent distributed resource allocation methods. This book is based on the work from world-famous experts on the application of DL for vehicle netw...
Advances in Materials Science and Engineering
This volume contains the selected papers resulting from the 7th Annual International Workshop on Materials Science and Engineering, and is focusing on the following six aspects: 1. Various Materials Properties, Processing, and Manufactures; 2. Multifunctional Materials Properties, Processing, and Manufactures; 3. Nanomaterials and Biomaterials; 4. Civil Materials and Sustainable Environment; 5. Electrochemical Valuation, Fracture Resistance, and Assessment; 6. Designs Related to Materials Science and Engineering. This proceeding presents and discusses key concepts and analyzes the state-of-the-art of the field. IWMSE 2021 is an academic conference in a series held once per year. The conference not only provides insights on materials science and engineering, but also affords conduit for future research in these fields. It provides opportunities for the delegates to exchange new ideas and application experiences, to establish business or research relations and to find global partners for future collaboration.
Conference Proceedings of 2022 2nd International Joint Conference on Energy, Electrical and Power Engineering
This book will be a collection of the conference manuscripts presented at the 2022 2nd International Joint Conference on Energy, Electrical and Power Engineering covering new and renewable energy, electrical and power engineering. It is expected to report the latest technological developments in the fields developed by academic researchers and industrial practitioners. The application and dissemination of these technologies will benefit the research community, as new research directions are becoming increasingly interdisciplinary, requiring researchers from different research areas to come together and share ideas. It will also benefit the electrical engineering and energy industry, as we are now experiencing a new wave of industrial revolution, i.e. the electrification, intelligentisation and digitalisation of our transport, manufacturing processes and way of thinking.
Internet of Energy for Smart Cities
Machine learning approaches has the capability to learn and adapt to the constantly evolving demands of large Internet-of-energy (IoE) network. The focus of this book is on using the machine learning approaches to present various solutions for IoE network in smart cities to solve various research gaps such as demand response management, resource management and effective utilization of the underlying ICT network. It provides in-depth knowledge to build the technical understanding for the reader to pursue various research problems in this field. Moreover, the example problems in smart cities and their solutions using machine learning are provided as relatable to the real-life scenarios. Aimed ...
China Perspectives
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