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It is estimated that over 1.5 billion people do not have adequate access to electrical energy. In many cases, electrification through traditional centralized grid expansion is not a viable option. As such, community-scale micro grids have been developed in numerous locations. These systems often rely on renewable resources as their power source. This paper explores the opportunities and challenges...
Substantial quantities of wind plant data are being accumulated as interest and investment in renewable energy grows. These data sets can approach tens of terabytes in size, making their management, storage, manipulation, and transmission burdensome. Lossless compression of the data sets can mitigate these challenges without sacrificing accuracy. This paper develops and analyzes lossless compression...
Electrification of rural areas is a serious and continuing challenge in many regions of the world. A potential solution to this problem is to generate electricity within the rural community, using inexpensive, technologically simple, and socially and environmentally appropriate generators. If designs of these generators are open source -- that is, made freely available -- then they can enable micro-enterprises...
Though electrification began over one hundred years ago, today there remains approximately 1.5 billion people without access to electricity. This form of energy poverty disproportionately afflicts people living in rural and developing communities. Access to electricity, even at modest consumption levels, can dramatically improve the quality of life in a community. For example, electric lamps allow...
This paper describes efforts by the IEEE PES Community Solutions Initiative (CSI) to provide reliable electricity to the 1.6 billion low income people who do not have access to electric light. The Community Solutions Initiative is a virtual community of professionals from a wide variety of backgrounds who are providing largely pro-bono efforts to design, develop, deliver and promote sustainable energy...
In investigating the large-scale integration of wind plants into the electric system, researchers are often in need of a realistic time series of aggregate wind plant power output corresponding to various capacity levels. One appealing approach to producing the time series is to use normalized historical data, which can then be scaled to the appropriate capacity levels for the analyses. A fundamental...
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