Trending machine learning models in cyber‐physical building environment: A survey

Z Hasan, N Roy - Wiley Interdisciplinary Reviews: Data Mining …, 2021 - Wiley Online Library
Electricity usage of buildings (including offices, malls, and residential apartments)
represents a significant portion of a nation's energy expenditure and carbon footprint. In the …

Scalable hybrid classification-regression solution for high-frequency nonintrusive load monitoring

G Saraswat, B Lundstrom… - 2023 IEEE Power & …, 2023 - ieeexplore.ieee.org
Residential buildings with the ability to monitor and control their net-load (sum of load and
generation) can provide valuable flexibility to power grid operators. We present a novel …

Bayesian optimisation against climate change: Applications and benchmarks

SP Hellan, CG Lucas, NH Goddard - arXiv preprint arXiv:2306.04343, 2023 - arxiv.org
Bayesian optimisation is a powerful method for optimising black-box functions, popular in
settings where the true function is expensive to evaluate and no gradient information is …