[HTML][HTML] Developing energy flexibility in clusters of buildings: A critical analysis of barriers from planning to operation
This paper examines building energy flexibility at an aggregated level and addresses the
main barriers and research gaps for the development of this resource across three design …
main barriers and research gaps for the development of this resource across three design …
A critical perspective on current research trends in building operation: Pressing challenges and promising opportunities
Despite the development of increasingly efficient technologies and the ever-growing amount
of available data from Building Automation Systems (BAS) and connected devices, buildings …
of available data from Building Automation Systems (BAS) and connected devices, buildings …
[HTML][HTML] A Platform for Integrating Internet of Things, Machine Learning, and Big Data Practicum in Electrical Engineering Curricula
The integration of the Internet of Things (IoT), big data, and machine learning (ML) has
pioneered a transformation across several fields. Equipping electrical engineering students …
pioneered a transformation across several fields. Equipping electrical engineering students …
Real-World Data and Calibrated Simulation Suite for Offline Training of Reinforcement Learning Agents to Optimize Energy and Emission in Buildings for …
J Goldfeder, J Sipple - arXiv preprint arXiv:2410.03756, 2024 - arxiv.org
Commercial office buildings contribute 17 percent of Carbon Emissions in the US, according
to the US Energy Information Administration (EIA), and improving their efficiency will reduce …
to the US Energy Information Administration (EIA), and improving their efficiency will reduce …
[HTML][HTML] Demonstration of a low-cost solution for implementing MPC in commercial buildings with legacy equipment
Abstract Model predictive control (MPC) approaches for HVAC systems in buildings have
shown potential for significant reduction of energy use and for enabling flexible operation …
shown potential for significant reduction of energy use and for enabling flexible operation …
[HTML][HTML] Synconn_build: A python based synthetic dataset generator for testing and validating control-oriented neural networks for building dynamics prediction
Applying model-based predictive control in buildings requires a control-oriented model
capable of learning how various control actions influence building dynamics, such as indoor …
capable of learning how various control actions influence building dynamics, such as indoor …
A Survey on the Use of Synthetic Data for Enhancing Key Aspects of Trustworthy AI in the Energy Domain: Challenges and Opportunities
M Meiser, I Zinnikus - Energies, 2024 - mdpi.com
To achieve the energy transition, energy and energy efficiency are becoming more and
more important in society. New methods, such as Artificial Intelligence (AI) and Machine …
more important in society. New methods, such as Artificial Intelligence (AI) and Machine …
[PDF][PDF] Investigating scalable replacement of weather compensated control with MPC in buildings with legacy equipment
Energy efficiency and flexible operation of existing buildings is an important part of the
decarbonisation of the energy system. However, implementing smart control system in …
decarbonisation of the energy system. However, implementing smart control system in …