Providing a fair and normalized algorithm for analyzing, comparing and rating energy efficiency of different users is a very difficult task. While, in general, higher energy consumption is often characterized as undesirable, it is important to take several effects into account to properly characterize this consumption, before applying any comparative analysis. This paper proposes a methodology for benchmarking the efficiency of energy use in smart homes and facilities equipped with sensors based on the Internet of Things concept, thus allowing the raw consumption data to be enriched and a fair comparison to be provided. The methodology proposes a combination of several components pertaining to different aspects of energy use, covering an analysis that takes into account the behavior of a neighborhood of similar users, changes in individual energy consumption behavior, alignment with renewable energy generation and user interactions with energy management apps and dashboards, where applicable. Finally, the operation of select aspects of the algorithm is demonstrated in two use cases using real-world data.