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Most countries in the world are working hard to make a shift towards the use of renewable energy sources. Renewable energy sources are ideal to narrow the energy gap between demand and availability. Monitoring energy consumption from renewable energy sources will enable effective control of the load. It is important to monitor the energy consumed from the renewable sources in order to balance the...
In this paper, we propose an energy demand scheduling using integer linear programming (ILP) to optimize energy for residential consumers. Then, we introduce a new algorithm which prioritize load appliances according to the real-time energy demand. Simulation results confirm that the proposed model can efficiently manage energy demand while considering consumers preferences.
As an active traffic and demand management (ATDM) strategy that has been implemented for decades, speed harmonization may improve traffic flow by regulating traffic speed upstream of bottlenecks. In this paper, we propose a new speed harmonization strategy with a focus on environmental factors, called eco-speed harmonization (ESH). ESH takes advantage of individual vehicle's real-time information...
Energy consumption is major issue in any type of Wireless Sensor Network (WSN) application. The main concern of this paper is how to increase the lifetime of network in WSN application. In any WSN application, data is measured and the same is sent to the particular destination. So each node is associated with sensors and battery, the lifetime of each node is determined by battery. One of the major...
Performance and energy management in cloud datacenter are major concerns that cloud service providers have to encounter due to computing demand has been increasing. Many researchers have proposed solutions to reduce energy consumption such as scheduling and migration while maintaining an appropriate level of performance to customers. In this paper, we propose a new CPU re-allocation algorithm that...
While Dynamic Voltage Scaling (DVS) and Dynamic Power Management (DPM) techniques are widely used in real-time embedded applications, their complex interaction is not fully understood. In this research effort, we consider the problem of minimizing the expected energy consumption on settings where the workload is known only probabilistically. By adopting a system-level power model, we formally show...
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