Search for dissertations about: "grid management"
Showing result 21 - 25 of 100 swedish dissertations containing the words grid management.
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21. Use of the CIM framework for data management in maintenance of electricity distribution networks
Abstract : Aging infrastructure and personnel, combined with stricter financial constraints has put maintenance, or more popular Asset Management, at the top of the agenda for most power utilities. At the same time the industry reports that this area is not properly supported by information systems. READ MORE
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22. Energy Services in Sweden - Customer Relations towards Increased Sustainability
Abstract : Energy use and supply are evident issues to consider for a sustainable development, where the economic, social and environmental aspects are all important. In large grid-bound systems, the supply of energy is usually a rather invisible activity and the contacts between household custo-mers and utilities are sometimes only repre-sented through the energy bill. READ MORE
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23. Sensor Management for Target Tracking Applications
Abstract : Many practical applications, such as search and rescue operations and environmental monitoring, involve the use of mobile sensor platforms. The workload of the sensor operators is becoming overwhelming, as both the number of sensors and their complexity are increasing. READ MORE
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24. Hierarchical energy management in smart grids : Flexibility prediction, scheduling and resilient control
Abstract : The electric power industry and society are facing challenges and opportunitiesof transforming the present power grid into a smart grid. Energymanagement systems (EMSs) play an important role in smart grids. A generalhierarchical structure for EMSs is considered here, which is composed ofa lower layer and an upper layer. READ MORE
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25. Architectures, design methodologies, and service composition techniques for Grid job and resource management
Abstract : The field of Grid computing has in recent years emerged and been established as an enabling technology for a range of computational eScience applications. The use of Grid technology allows researchers and industry experts to address problems too large to efficiently study using conventional computing technology, and enables new applications and collaboration models. READ MORE