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Challenge: Advancing Energy Informatics to Enable Assessable Improvements of Energy Performance in Buildings.

, , , , and . e-Energy, page 77-82. ACM, (2015)

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Leveraging the Capabilities of Industry 4.0 for Improving Energy Efficiency in Smart Factories., , and . IEEE Access, (2019)Ftaproxim - R Package for Proxel-Based Simulation of Fault Trees: A Case Study., , and . ICSRS, page 55-58. IEEE, (2022)Data-Driven Modelling Of Repairable Fault Trees From Time Series Data With Missing Information., and . WSC, page 1-12. IEEE, (2021)A Zoning Framework for Enhanced Smart Building Automation., , and . WSC, page 3977-3986. IEEE, (2018)Mobile Crowdsourcing of Data for Fault Detection and Diagnosis in Smart Buildings., , , and . RACS, page 12-17. ACM, (2016)On the Complexity of Smart Buildings Occupant Behavior: Risks and Opportunities., and . BCI, page 1:1-1:4. ACM, (2017)LEAF: Live Building Performance Evaluation Framework., and . FMEC, page 306-311. IEEE, (2019)Middleware to support cyber-physical systems., , , and . IPCCC, page 1-3. IEEE Computer Society, (2016)PySPN: An Extendable Python Library for Modeling & Simulation of Stochastic Petri Nets., and . SimuTools, volume 519 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 70-78. Springer, (2023)Challenge: Advancing Energy Informatics to Enable Assessable Improvements of Energy Performance in Buildings., , , , and . e-Energy, page 77-82. ACM, (2015)