Advanced Metering Infrastructure Data: Overviews for the Big Data Framework
DOI:
https://doi.org/10.18034/ra.v7i3.602Keywords:
Big Data, Advanced Metering Infrastructure, AMI Data, Data Analytics, Smart MeterAbstract
The Advanced Metering Infrastructure (AMI) statistics provide real-time information about power use as well as social, demographic, and economic aspects within a community. This study proposes a Data Analytics/Big Data architecture for leveraging AMI data in Smart City applications. The framework has three main components. First, the architectural view positions AMI within the SGAM. Second, the methodological view describes the DIKW hierarchy and NIST Big Data interoperability model's translation of raw data into knowledge. Finally, human expertise and talents to analyze the results and translate knowledge into wisdom are a connecting aspect between the two approaches. A binding element that supports optimal and efficient decision-making is added to our new perspective. We made a case study to demonstrate our framework. A load forecasting application is implemented in Retail Electricity Provider (REP). Some of the REP's marketplaces have a MAPE of less than 5%. The scenario also highlights the binding element's effect on new development options and as a feedback mechanism for more forceful decision making.
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