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In order to reduce the energy gap originated by the difference between existing tools estimations and real energy consumption, HIT2GAP European H2020 project aims at advancing on building control tools by providing a newer decision-making technology. Technically, HIT2GAP offers a platform inspired by previous reference architectures (e.g., Haystack) and complements them through a knowledge-based model, called OntoH2G, to store building information under a common vocabulary and consequently to enable fine-grained vision of the building with its equipment and occupants. OntoH2G allows to query building data so to extract required information and interesting events (through a set of services). OntoH2G advances over existing models on two main aspects: (i) being compliant with well-known ontologies in different domains in order to cover all energy building concepts, and (ii) its ability to represent user/occupant behaviour, preferences, and interactions.

The mismanagement of energy in public buildings is related with the continuous growing up of energy consumption. Energy efficiency concept is one of the main awareness in the current society. The main contribution of the paper is focused on describing intelligent energy management architecture capable of intelligent generation of recommendations taking into account infrastructure behavior (building), user behavior (occupants of the building) and holistic techniques (recommendations and knowledge from other buildings). This article describes an approach developed under European Union project called KnoHolEM. Project solution is characterized by: (1) Support buildings in (near-)real-time energy monitoring through smart metering; (2) Knowledge-based development of intelligent energy management solutions, supporting interoperability between heterogeneous systems and assisted by algorithms for energy consumption,

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