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The Internet of Things (IoT) has brought increased sensing, monitoring and actuation capabilities to several domains including residential buildings. Residential energy management methods can leverage these capabilities and devise smarter solutions. This requires processing and reasoning data constantly generated by various IoT devices. In this paper, we use a hierarchical system model for IoT-based...
The Internet of Things envisions a web-connected infrastructure of sensing and actuation devices. However, the current state of the art presents another reality: monolithic end-to-end applications tightly coupled to a limited set of sensors and actuators. Growing such applications with new devices or behaviors, or extending the existing infrastructure with new applications, involves redesign and deployment...
The Internet of Things (IoT) refers to an environment of ubiquitous sensing and actuation, where devices are connected to a distributed backend infrastructure. It offers the opportunity to access a large amount of input data, and process it into contextual information about different system entities for reasoning and actuation. State-of-the-art IoT applications are generally black-box, end-to-end...
Batteries are an important element for residences that are in grid-connected systems with energy procurement. They provide storage for local generation and a buffer against the inconsistent output from renewables such as rooftop solar. In addition, they can independently provide a medium for buying and selling retail energy. The growing deployment of reversepower- operation systems provides residences...
Several studies have proposed job migration over the wide area network (WAN) to reduce the energy of networks of datacenters by taking advantage of different electricity prices and load demands. Each study focuses on only a small subset of network parameters and thus their results may have large errors. For example, datacenters usually have long-term power contracts instead of paying market prices...
Residential energy contributes to 38% of the total energy consumption of the United States [1]. Current research aims to reduce consumption through time-of-use (TOU) pricing or by providing energy information to consumers. Industrial innovations are focused on energy efficiency and automated control of appliances. However, to date, quantifying the benefits of current and future technology improvements...
Many simulators are available to evaluate performance and power tradeoffs in datacenters. The authors use one such simulator to demonstrate that by accurately provisioning green energy availability for longer time intervals, green energy prediction can improve overall energy efficiency.
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