Skip to main content

Research Repository

Advanced Search

All Outputs (4)

Comparing different approaches of agent-based occupancy modelling for predicting realistic electricity consumption in office buildings (2023)
Journal Article
Mashuk, M. S., Pinchin, J., Siebers, P., & Moore, T. (2024). Comparing different approaches of agent-based occupancy modelling for predicting realistic electricity consumption in office buildings. Journal of Building Engineering, 84, Article 108420. https://doi.org/10.1016/j.jobe.2023.108420

Having a good grasp on modelling the dynamics of occupants for estimating electricity consumption in office buildings is a vital asset for realistic predictions. Nowadays, agent-based models are widely used for this purpose. Previous approaches to mo... Read More about Comparing different approaches of agent-based occupancy modelling for predicting realistic electricity consumption in office buildings.

Demonstrating the potential of indoor positioning for monitoring building occupancy through ecologically valid trials (2021)
Journal Article
Mashuk, M. S., Pinchin, J., Siebers, P. O., & Moore, T. (2021). Demonstrating the potential of indoor positioning for monitoring building occupancy through ecologically valid trials. Journal of Location Based Services, 15(4), 305-327. https://doi.org/10.1080/17489725.2021.1893394

Assessing building performance related to energy consumption in post-design-occupancy stage requires knowledge of building occupancy pattern. These occupancy data can potentially be collected from trials and used to improve the prediction capability... Read More about Demonstrating the potential of indoor positioning for monitoring building occupancy through ecologically valid trials.

Out of hours workload management: Bayesian inference for decision support in secondary care (2016)
Journal Article
Pérez López, I., Brown, M., Pinchin, J., Martindale, S., Sharples, S., Shaw, D. E., & Blakey, J. (in press). Out of hours workload management: Bayesian inference for decision support in secondary care. Artificial Intelligence in Medicine, 73, 34-44. https://doi.org/10.1016/j.artmed.2016.09.005

Objective: In this paper, we aim to evaluate the use of electronic technologies in Out of Hours (OoH) task-management for assisting the design of effective support systems in health care; targeting local facilities, wards or specific working groups.... Read More about Out of hours workload management: Bayesian inference for decision support in secondary care.

Unsupervised labelling of sequential data for location identification in indoor environments (2016)
Journal Article
Pérez López, I., Pinchin, J., Brown, M., Blum, J., & Sharples, S. (in press). Unsupervised labelling of sequential data for location identification in indoor environments. Expert Systems with Applications, https://doi.org/10.1016/j.eswa.2016.06.003

In this paper we present indoor positioning within unknown environments as an unsupervised labelling task on sequential data. We explore a probabilistic framework relying on wireless network radio signals and contextual information, which is increasi... Read More about Unsupervised labelling of sequential data for location identification in indoor environments.