2016 30th International Conference on Advanced Information Networking and Applications Workshops (WAINA) 2016
DOI: 10.1109/waina.2016.173
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Heating and Hot Water Industrial Prediction System for Residential District

Abstract: This work presents a data-intensive solution to predict heating and hot water consumption. The ability to predict locally those flexible sources considering meteorological uncertainty can play a key role in the management of microgrid. A microgrid is a building block of future smart grid, it can be defined as a network of low voltage power generating units, storage devices and loads.The main novelties of our approach is to provide an easy implemented and flexible solution that used a supervised learning techni… Show more

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Cited by 2 publications
(2 citation statements)
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“…Power loads / consumption analysis consumption clustering ( [109], [136], [137], [182], [190], [198], [199], [206], [210], [221], [259], [263]), consumption prediction ( [? ], [6], [10]- [12], [19], [23], [24], [32], [36], [42], [45], [53], [57], [65], [69], [70], [78], [79], [86], [88], [90], [98], [101]- [103], [106], [110], [111], [115]- [117], [122], [124], [125], [132], [146], [152], [156]- [159], [161], [162]…”
Section: B Rq2mentioning
confidence: 99%
“…Power loads / consumption analysis consumption clustering ( [109], [136], [137], [182], [190], [198], [199], [206], [210], [221], [259], [263]), consumption prediction ( [? ], [6], [10]- [12], [19], [23], [24], [32], [36], [42], [45], [53], [57], [65], [69], [70], [78], [79], [86], [88], [90], [98], [101]- [103], [106], [110], [111], [115]- [117], [122], [124], [125], [132], [146], [152], [156]- [159], [161], [162]…”
Section: B Rq2mentioning
confidence: 99%
“…Finally, predictive traffic models usually are hierarchical and consist of various layers, where lower levels manage correlation among physical parameters and more abstract levels are employed to predict human and long-term behaviors [21]. Although modern learning techniques are commonly employed [22] in predictive models, pure mathematical models allow a better understanding of the relations among the different variables. In particular, in this work, Taylor's series and multivariable functions are employed.…”
Section: State Of the Art On Predictive Modelsmentioning
confidence: 99%