ThinkHome Energy Efficiency in Future Smart Homes

Energy intelligent buildings based on user activity: A survey

“…Primary targets are functions that require comparably high amounts of energy, such as HVAC, and lighting/shading in the home (domestic) environment. The users can be tracked using radio-frequency identification (RFID) tags that allow determining the inhabitant's position relative to the building structure stored as static data [20,21], and [22]. The BeyWatch [23] project, led by the Spanish telecommunication company Telefonica, aims to reduce energy consumption at the household level by developing and evaluating innovative usercentric solutions to raise energy awareness and usage flexibility.…”

Behavioral Profiles for Building Energy Performance Using eXclusive SOM

“…Despite the uncertainties and difficulties, it is worth applying clustering methods to discover behavior profiles for building energy performance and smarter control [17]. For instance, the water profiles obtained with XSOM have already been used to reach more realistic energy simulations in Spanish buildings (using Calener) and, combined with electricity usage profiles, for modeling occupancy in control application studies.…”

“…In parallel, profiles allow a control system to guess the next steps in advance (e.g. [7], [17], [8]). Indeed, there is a high sensitivity in the user behavior or energy usage parameters, minor variations result in considerable differences.…”

DogOnt as a viable seed for semantic modeling of AEC/FM

“…Instead, they strongly sustain the adoption of SAREF as reference model, in particular considering the latest extensions for energy [21] and building [22]. The main rationale of presenting DogOnt as a possible seed for AEC/FM modeling is providing a first "unified modeling" core, SAREF-compatible and able to easily include/map existing energy-related models relying on DogOnt, e.g., [12] and [11] . In perspective, the authors aim at bootstrapping mappings between such models and the ETSI standards, exploiting the common model described in this paper.…”

“…To exemplify, in the smart grid domain DogOnt has been used in the Leaf Island project (i.e., imported in the Leaf Ontology) [9], while in the JEERP project [10] it was used for building an Energy-Aware Enterprise Resource Planning. Furthermore, it has been incorporated in the EEOnt ontology [11] for providing an unified representation of energy efficiency in buildings, it has been used as "as a starting point for the specification of [some] concepts in ThinkHome" [12], adopted by the UniDA framework [13] for the integration and interoperation of devices in Human Interaction Environments, and it was among the most important sources used in the creation of the SAREF ETSI standard [14,15].…”