Demand-oriented Energy Big Data Services using Hadoop-based Large-scale Distributed System Platform for District Heating
Mingoo Song, Jung-In Choi · 2018
In the energy industry, a variety of Big Data services have been developed and provided for both producers and consumers. These services bring more convenience, reliability stability and a higher operational efficiency in energy control and management. For demand-oriented energy services, the primary objectives of are set to reduce the cost or improve the energy efficiency on the consumption side. The association of a Hadoop-based large-scale distributed system with SCADA has engendered various applications using energy Big Data. Especially, the integration of Spark with Hadoop has promoted the development of demand-oriented energy services for Big Data with growing necessities in the industry. In this paper, we investigate demand-oriented energy Big Data services using a Hadoop-based large-scale distributed system platform for district heating as a case. Moreover, we introduce a social energy Big Data service which can ameliorate energy control and management with the demonstration in district heating.