Building energy management may simultaneously integrate multiple energy areas and sources of information. The coordination of synergies allow better-informed decisions, such as performing forecasts and adjustments of energy production and storage, while adapting electrical loads to off-peak times, when energy rates are lower. This work targets the improvement and optimization of energy management operations in buildings and large complexes, by introducing a conceptual model for supporting real-time advanced reasoning and inference towards efficient energy management.
|Title of host publication||International Conference on Intelligent Engineering Systems (INES)|
|Publication status||Published - 1 Jan 2012|
|Event||IEEE 16th International Conference on Intelligent Engineering Systems (INES) - |
Duration: 1 Jan 2012 → …
|Conference||IEEE 16th International Conference on Intelligent Engineering Systems (INES)|
|Period||1/01/12 → …|