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In this paper, an adaptable system model for energy management in intelligent buildings is investigated. The application of wireless sensor networks and adaptive learning techniques, in order to bring forward an “Adaptable Systemic Solution” is described. Furthermore, conceptual model and high level architecture of an adaptable system for energy management in “Intelligent Buildings” is proposed. The importance of an adaptable system encompassing few subsystems, sharing knowledge and data is described. The analytical model of a novel Adaptive Learning System capable to learn and adapt by exploiting a rules-based expert system and adaptive learning principles, is proposed and described. Its use for an enhanced version of a Programmable Communicating Thermostat is discussed.