1. Basic principles

2. Building data analytics

3. Energy data analysis

4. Artificial intelligence (AI)

5. Cyber-security

[Powerpoint file in PDF format]

• Building Analytics by Schneider Electric (5:03) https://youtu.be/RkaofWc6nHM
  
• Building Analytics Infographic Video (2:41) https://youtu.be/G5pJ72jN1DQ
  
• Webinar: Building Analytics Platforms by fmr Salesforce Product Leader, Jahnavi Reddy (25:13) https://youtu.be/74Hd6UIo3SE

• Four Types of Analytics with Example and Applications https://www.projectpro.io/article/types-of-analytics-descriptive-predictive-prescriptive-analytics/209
  
• Ultimate Guide to Building Analytics: Making Big Data Approachable https://www.buildingsiot.com/ultimate-guide-to-building-analytics-making-big-data-approachable-bd
  
• Ensuring Safety in Smart Buildings: The Importance of Cybersecurity and Automation https://www.waylay.io/articles/ensuring-safety-in-smart-buildings

• Benavente-Peces C., 2019. On the energy efficiency in the next generation of smart buildings—supporting technologies and techniques, Energies, 12 (22) 4399. https://doi.org/10.3390/en12224399
  
• CABA, 2015. Intelligent Buildings and Big Data, Continental Automated Buildings Association (CABA). https://www.ashb.com/wp-content/uploads/2020/07/2015-CABA-Intelligent-Buildings-and-Big-Data-Full-Report.pdf
  
• Gunay H. B., Shen W. & Newsham G., 2019. Data analytics to improve building performance: A critical review, Automation in Construction, 97: 96-109. https://doi.org/10.1016/j.autcon.2018.10.020
  
• Kramer H., Lin G., Curtin C., Crowe E. & Granderson J., 2020. Proving the Business Case for Building Analytics, Lawrence Berkeley National Laboratory, Berkely, CA. https://doi.org/10.20357/B7G022,
  https://betterbuildingssolutioncenter.energy.gov/sites/default/files/attachments/Proving%20the%20Business%20Case%20for%20Building%20Analytics_Oct2020.pdf
  
• FEMP, 2021. Energy Management Information Systems Technical Resources Report, U.S. Department of Energy, Energy Efficiency Renewable Energy Office, Federal Energy Management Program (FEMP). https://www.energy.gov/sites/default/files/2021-09/emis-technical-resources.pdf
  
• Kramer H., Lin G., Granderson J., Curtin C., Crowe E. & Tang R., 2019. Synthesis of Year Three Outcomes in the Smart Energy Analytics Campaign, Building Technology and Urban Systems Division, Lawrence Berkeley National Laboratory. https://buildings.lbl.gov/sites/default/files/Smart%20Energy%20Analytics%20Campaign%20Year%203%20Report_LBNL_11.1.19.pdf
  
• Mahalle P. N., Hujare P. P. & Shinde G. R., 2023. Predictive Analytics for Mechanical Engineering: A Beginner's Guide, Springer, Singapore. https://doi.org/10.1007/978-981-99-4850-5
  
• Pickering E. M., Hossain M. A., French R. H. & Abramson A. R., 2018. Building electricity consumption: Data analytics of building operations with classical time series decomposition and case based subsetting, Energy and Buildings, 177: 184-196. https://doi.org/10.1016/j.enbuild.2018.07.056
  
• Qolomany B., Al-Fuqaha A., Gupta A., Benhaddou D., Alwajidi S., Qadir J. & Fong A. C., 2019. Leveraging machine learning and big data for smart buildings: a comprehensive survey, IEEE Access, 7: 90316-90356. https://doi.org/10.1109/ACCESS.2019.2926642
  
• Shepard D., 2023. Cybersecurity project specs for building automation systems, ASHRAE Journal, 65 (11) 16-19.
  
• Truong N.-S., Ngo N.-T. & Pham A.-D., 2021. Forecasting time-series energy data in buildings using an additive artificial intelligence model for improving energy efficiency, Computational Intelligence and Neuroscience, 2021: 6028573. https://doi.org/10.1155/2021/6028573

• 4 Types of Data Analytics Every Analyst Should Know-Descriptive, Diagnostic, Predictive, Prescriptive https://medium.com/co-learning-lounge/types-of-data-analytics-descriptive-diagnostic-predictive-prescriptive-922654ce8f8f
  
• Predictive Analytics https://www.sigmadatasys.com/services/predictive-analytics-services/
  
• DIKW pyramid - Wikipedia https://en.wikipedia.org/wiki/DIKW_pyramid
  
• Building analytics https://www.cognizant.com/us/en/glossary/building-analytics
  
• Step 3: Track Energy Data and Benchmark Performance https://eepartnership.org/2020/02/step-3-track-energy-data-and-benchmark-performance/
  
• Automated Fault Detection and Diagnostics: Affordable Energy Efficiency for Buildings https://www.pnnl.gov/sites/default/files/media/file/EED_0073-Fault-Detection-flier.pdf
  
• Best Practices for Enhancing Performance Contracts with Monitoring-Based Commissioning https://www.energy.gov/sites/default/files/2022-04/81742.pdf
  
• Artificial intelligence vs data science https://datascience.aero/artificial-intelligence-vs-data-science/
  
• Unlock the True Power of Data Analytics with Artificial Intelligence https://ebrary.net/195875/engineering/unlock_true_power_data_analytics_with_artificial_intelligence
  
• From the Cellar to the Cloud – How Aedifion is Driving Next-Generation Building Automation with Confluent https://www.confluent.io/blog/smart-buildings-with-real-time-iot-analytics-using-confluent-at-aedifion/
  
• Machine Intelligence and Managerial Decision-Making https://ebrary.net/195878/engineering/machine_intelligence_managerial_decision_making
  
• Human Intelligence https://ebrary.net/195879/engineering/human_intelligence
  
• The Importance of Protecting Smart Building Technology from Cyber Threats https://www.veridify.com/the-importance-of-protecting-smart-building-technology-from-cyber-threats/
  
• NIST Cybersecurity Framework https://www.linkedin.com/pulse/nist-cybersecurity-framework-shanneece-alberts
  
• Energy Management Information Systems Cybersecurity Best Practices https://www.energy.gov/sites/default/files/2022-07/emis-cybersecurity-best-practices.pdf