An adaptive federated learning system for community building energy load forecasting and anomaly prediction
Energy load forecasting is critical for sustainable building development and management.
Although the energy data could be collected through Internet of Things (IoT) systems, it is a …
Although the energy data could be collected through Internet of Things (IoT) systems, it is a …
[HTML][HTML] ForecastExplainer: Explainable household energy demand forecasting by approximating shapley values using DeepLIFT
The rapid progress in sensor technology has empowered smart home systems to efficiently
monitor and control household appliances. AI-enabled smart home systems can forecast …
monitor and control household appliances. AI-enabled smart home systems can forecast …
Fundamental Components and Principles of Supervised Machine Learning Workflows with Numerical and Categorical Data
SI Kampezidou, A Tikayat Ray, AP Bhat… - Eng, 2024 - mdpi.com
This paper offers a comprehensive examination of the process involved in developing and
automating supervised end-to-end machine learning workflows for forecasting and …
automating supervised end-to-end machine learning workflows for forecasting and …
Decentralized and Privacy-Preserving Learning of Approximate Stackelberg Solutions in Energy Trading Games With Demand Response Aggregators
SI Kampezidou, J Romberg… - … on Systems, Man …, 2024 - ieeexplore.ieee.org
In the pathway to 2030 electricity generation decarbonization and 2050 net-zero economies,
scalable integration of distributed load can support environmental goals and also help …
scalable integration of distributed load can support environmental goals and also help …
Fundamental Components and Principles of Supervised Machine Learning Pipelines with Numerical and Categorical Data
SI Kampezidou, AT Ray, AP Bhat, OJP Fischer… - 2023 - preprints.org
This paper offers a comprehensive examination of the process involved in developing and
automating supervised end-to-end machine learning workflows for forecasting and …
automating supervised end-to-end machine learning workflows for forecasting and …
Dynamic Implementation of Resource Management Strategies for a Resilient Advanced Life Support System
MR Rines, MG Balchanos, DN Mavris - AIAA Scitech 2019 Forum, 2019 - arc.aiaa.org
The methodology and results presented in this paper seek to work towards a modeling and
simulation environment for space habitats that is capable of dynamically deciding which …
simulation environment for space habitats that is capable of dynamically deciding which …
Energy performance assessment of campus buildings using data mining technologies
K Li - 2020 - ro.uow.edu.au
Buildings consume a large amount of energy during their life cycle. Building performance
assessment plays a significant role in improving building energy efficiency and reducing …
assessment plays a significant role in improving building energy efficiency and reducing …