Download Data Analytics for Renewable Energy Integration: Third ECML by Wei Lee Woon, Zeyar Aung, Stuart Madnick PDF

By Wei Lee Woon, Zeyar Aung, Stuart Madnick

This booklet constitutes revised chosen papers from the 3rd ECML PKDD Workshop on facts Analytics for Renewable strength Integration, DARE 2015, held in Porto, Portugal, in September 2015.
the ten papers awarded during this quantity have been conscientiously reviewed and chosen for inclusion during this book.

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Extra info for Data Analytics for Renewable Energy Integration: Third ECML PKDD Workshop, DARE 2015, Porto, Portugal, September 11, 2015. Revised Selected Papers

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The households have a three-phase connection with a nominal line-to-neutral voltage of 230 V. The voltage at the secondary side of the transformer is considered to be 235 V during no load, which can be considered as a typical LV transformer tap to avoid low voltages at the end of the feeder. 5 kVA including a 10 % overrating, to support a reactive power compensation until 46 %, even when operating with full power generation. The loads are defined as smart homes instead of passive loads to improve the simulation scenarios.

DK (2010) 33. : Intelligente Lösungen für Verteilnetze, VDE-Insidel (2012) 34. , Germany (2011) 35. : Options for control of reactive power by distributed photovoltaic generators. Proc. IEEE 99(6), 1063–1073 (2011) 36. gr Abstract. Despite their rich energy renewable potential, mountainous areas suffer from energy poverty. A viable solution seems to be the radical turn towards renewable resources. Any tailor-cut energy planning for mountainous areas presupposes the adequate estimation of the energy demand of buildings, which in this case is hindered by the lack of long-term meteorological data, especially in remote, high altitude areas.

The only adequate network of mountainous meteorological stations is found in high European moun‐ tain ranges such as the Alps and in northwestern America. Till now, qualitative estimations about the high energy demand of mountainous areas have been mostly expressed, based on the cold climatic conditions prevailing, not supported by specific quantitative data though. g. [1, 6], including quantitative facts have been detected. In this paper, a methodological tool for quantifying the energy demand of the building sector of four mountainous areas, namely Austria, Switzerland, Greece and north Italy is given.

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