It is envisioned that building systems will become active participants in the smart grid operation by controlling their energy consumption to optimize complex criteria beyond ensuring local end-use comfort satisfaction. A forecast of the building energy consumption will be necessary to enable integration between building and grid operation. Such forecast will be affected by parametric and measurement uncertainty. In this paper we develop a methodology for quantifying the sensitivity of optimal hourly energy consumption forecasts to various sources model and measurement uncertainty. We demonstrate the approach for a building heating ventilation and air conditioning (HVAC) system use-case.
@article{arxiv.1806.02433,
title = {Optimal Energy Consumption Forecast for Grid Responsive Buildings: A Sensitivity Analysis},
author = {Soumya Kundu and Thiagarajan Ramachandran and Yan Chen and Draguna Vrabie},
journal= {arXiv preprint arXiv:1806.02433},
year = {2018}
}
Comments
accepted at the IEEE Conference on Control Theory and Applications