Model predictive control for demand flexibility: Real-world operation of a commercial building with photovoltaic and battery systems

K Zhang, A Prakash, L Paul, D Blum, P Alstone… - Advances in Applied …, 2022‏ - Elsevier
Hundreds of studies have investigated Model Predictive Control (MPC) for the optimal
operation of building energy systems in the past two decades. However, MPC field tests are …

Controlling distributed energy resources via deep reinforcement learning for load flexibility and energy efficiency

S Touzani, AK Prakash, Z Wang, S Agarwal, M Pritoni… - Applied Energy, 2021‏ - Elsevier
Behind-the-meter distributed energy resources (DERs), including building solar photovoltaic
(PV) technology and electric battery storage, are increasingly being considered as solutions …

An end-to-end implementation of a service-oriented architecture for data-driven smart buildings

L Chamari, E Petrova, P Pauwels - Ieee Access, 2023‏ - ieeexplore.ieee.org
Buildings connect with multiple information systems like Building Management Systems
(BMS), Energy Management Systems (EMS), IoT devices, Building Information Models …

Optimization of hybrid renewable energy microgrid for rural agricultural area in Southern Philippines

R Tarife, Y Nakanishi, Y Chen, Y Zhou, N Estoperez… - Energies, 2022‏ - mdpi.com
Microgrids, or distributed systems of local energy generation, transmission, and demand, are
now technologically and operationally capable of providing power to communities …

Open building operating system: a grid-responsive semantics-driven control platform for buildings

L Paul, F De Andrade Pereira, AK Prakash… - … and Technology for …, 2024‏ - Taylor & Francis
Grid-interactive efficient buildings (GEBs) with flexible loads are a promising method to
decarbonize buildings and support the grid. Despite the promising benefits of GEBs …

Algorithms and dehumanization: a definition and avoidance model

MD Schultz, M Clegg, R Hofstetter, P Seele - AI & SOCIETY, 2024‏ - Springer
Dehumanization by algorithms raises important issues for business and society. Yet, these
issues remain poorly understood due to the fragmented nature of the evolving …

[HTML][HTML] Disturbance observer-based offset-free global tracking control for input-constrained LTI systems with DC/DC buck converter applications

K Choi, DS Kim, SK Kim - Energies, 2020‏ - mdpi.com
This paper presents an offset-free global tracking control algorithm for the input-constrained
plants modeled as controllable and open-loop strictly stable linear time invariant (LTI) …

[PDF][PDF] Reference Architecture for Smart Buildings

L Chamari, P Pauwels, E Petrova, JW Dubbeldam… - 2023‏ - research.tue.nl
SUMMARY Brains for Buildings Energy Systems (B4B) is a multi-year, multi-stakeholder
project that aims to develop smart building methods to enhance operations in buildings by …

[PDF][PDF] Study of data needs and requirements in smart buildings

L Chamari, P Pauwels, E Petrova - 2022‏ - research.tue.nl
SUMMARY Brains for Buildings Energy Systems (B4B) is a multi-year, multi-stakeholder
project that aims at develo** smart building methods to enhance the operations in …

Quantifying the value of stochastic supervisory controller for building thermal energy storage aggregators in two-settlement grid markets

MG Yu, GS Pavlak - Journal of Engineering for …, 2022‏ - asmedigitalcollection.asme.org
Smart cities will need collections of buildings that are responsive to the variation in
renewable energy generation. However, an unprecedented level of renewable energy being …