سه شنبه 18 اردیبهشت 1403
| عنوان مقاله | |
| عنوان مقاله |
API deployment for big data management towards sustainable energy prosumption in smart cities-a layered architecture perspective |
| عنوان فارسی مقاله | استقرار API برای مدیریت داده های بزرگ به سمت افزایش انرژی پایدار در شهرهای هوشمند - چشم انداز معماری لایه ای |
| مشخصات مقاله انگلیسی | |
| نشریه: Taylor & Francis |
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| سال انتشار |
2020 |
| عنوان مجله |
International Journal of Sustainable Energy |
| تعداد صفحات مقاله انگلیسی | 28 |
| رفرنس | دارد |
| تعداد رفرنس | 74 |
| چکیده مقاله | |
| چکیده |
The smart city has emerged as a universal term for the pervasive utilisation of information and communication technologies deployed to provide value-added services to citizens based on data generated from sectors such as energy, mobility, etc. However, current approaches are faced with interoperability as a challenging issue in processing big data. Therefore, this study explores the role of application programming interfaces (APIs) for managing real-time, online, and historical energy data in the context of residential buildings and electric vehicles. Moreover, a layered architecture that employs APIs in big data is developed for district energy management towards providing energy information intelligence and support decision-making on energy sustainability in facilitating prosumption operations. Practically, the layered architecture collects energy data and provides data to prosumers who are citizens that produce, consume, share, and sell energy generated from renewable sources such as solar and wind to better improve energy prosumption in smart grid. |
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| دانلود | |
