  During the production, distribution, and consumption of energy, a large
quantity of data is generated. For efficiently using of energy resources other
supplementary data such as building information, weather, and environmental
data etc. are also collected and used. All these energy data and relevant data
is published as linked data in order to enhance the reusability of data and
maximization of energy management services capability. However, the quality of
this linked data is questionable because of wear and tears of sensors,
unreliable communication channels, and highly diversification of data sources.
The provision of high-quality energy management services requires high quality
linked data, which reduces billing cost and improve the quality of the living
environment. Assessment and improvement methodologies for the quality of data
along with linked data needs to process very diverse data from highly diverse
data sources. Microservices based data-driven architecture has great
significance to processes highly diverse linked data with modularity,
scalability, and reliability. This paper proposed microservices based
architecture along with domain data and metadata ontologies to enhance and
assess energy-related linked data quality.
