Abstract
Smart Grid (SG) is a relatively new subject in which intelligence comes from computer systems. Edge Computing (EC) processes data near the SG information source — potentially attenuating latency problems. While Internet of Things (IoT) collects, transmits and stores data, EC allows the employment of data analysis with Machine Learning (ML) at its edge. This work uses a systematic mapping methodology to encompass 15081 works related to four SGs technologies: data analysis, EC, IoT, and context awareness. With 37 works after the filtering process, this review revealed that most papers use one to three approaches, while only two use all four technologies. The results also indicate that EC has been extensively used in SG solutions, with 22 selected studies. Distinctively, only 9 works use context awareness, which may indicate a path for future developments in SG. The study also allowed the learning of 7 lessons that are presented in this paper.
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