Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/120411
Title: MODELING, METHODOLOGY AND APPLICATIONS FOR RESOURCE MANAGEMENT IN ENERGY HARVESTING SYSTEMS.
Authors: EDALAT NEDA
Keywords: Methodology, energy harvesting, large deviation, resource management
Issue Date: 26-Feb-2015
Citation: EDALAT NEDA (2015-02-26). MODELING, METHODOLOGY AND APPLICATIONS FOR RESOURCE MANAGEMENT IN ENERGY HARVESTING SYSTEMS.. ScholarBank@NUS Repository.
Abstract: Energy harvesting technologies have become a commercial reality, with many deployed embedded devices being powered from the natural resources in their environment. This deployment opens the exciting new possibility to build the self-powered and self-sufficient systems. Unlike conventional power sources, the output power of renewable sources is stochastic in nature, as they strongly depend on environmental changes. This makes the control of the systems that operates with such sources challenging. In this dissertation, we aim to develop the analytical foundations for the design of control policies for systems that completely or partially operate with renewable energy sources. We pursue our investigation in two applications: energy harvesting wireless sensor networks and smart grid systems.
URI: http://scholarbank.nus.edu.sg/handle/10635/120411
Appears in Collections:Ph.D Theses (Open)

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