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Cybersecurity in building energy management is crucial for protecting infrastructure, ensuring data integrity, and preventing unauthorized access or manipulation. This paper investigates the energy efficiency and cybersecurity of building…

Systems and Control · Electrical Eng. & Systems 2024-05-03 Xiaoyu Ge , Kamelia Norouzi , Faegheh Moazeni , Mirel Sehic , Javad Khazaei , Parv Venkitasubramaniam , Rick Blum

The large amount of data collected in buildings makes energy management smarter and more energy efficient. This study proposes a design and implementation methodology of data-driven heating, ventilation, and air conditioning (HVAC) control.…

Systems and Control · Electrical Eng. & Systems 2024-10-28 Yuki Ozawa , Dafang Zhao , Daichi Watari , Ittetsu Taniguchi , Toshihiro Suzuki , Yoshiyuki Shimoda , Takao Onoye

This paper develops a computational simulation of the fluid dynamics and heat transfer phenomena that occur inside combustion chamber, and flat and semispherical open evaporators used in NCS non-centrifugal sugar industry. The study…

Fluid Dynamics · Physics 2025-06-27 Pablo Cortes , Omar Lopez , Ramiro Medina , Gerardo Gordillo , Javier Guevara

Optimizing CPS behavior in terms of energy consumption can have a significant impact on system reliability. The environment influences the system's behavior, and neglecting the environmental behavior has an indirect negative impact on…

Software Engineering · Computer Science 2021-09-06 Reza Soltani , Eun-Young Kang , Juan Esteban Heredia Mena

The smart control informed by IoT sensors and enabled by remotely controlled devices can optimize the building operation to minimize unnecessary energy consumption and improve indoor thermal comfort. This paper quantifies the potential for…

Signal Processing · Electrical Eng. & Systems 2022-05-23 Yujiao Chen , Rongxin Yin

The reduction of greenhouse gases from buildings forms the cornerstone of policy to mitigate the effects of climate change. However, the automation of urban scale building energy modeling systems required to meet global urban demand has…

Applications · Statistics 2024-04-08 Thomas Dougherty , Rishee Jain

Buildings account for approximately 40% of global energy consumption, and with the growing share of intermittent renewable energy sources, enabling demand-side flexibility, particularly in heating, ventilation and air conditioning systems,…

Systems and Control · Electrical Eng. & Systems 2026-04-20 Colin Jüni , Mina Montazeri , Yi Guo , Federica Bellizio , Giovanni Sansavini , Philipp Heer

This paper presents the latest progress on characterization of our membrane assisted phase-change heat sink (MHS) at conditions suitable for implementation in data centers (DCs). Experiments are conducted using water as the working fluid at…

Fluid Dynamics · Physics 2022-07-27 Suhas Rao Tamvada , Saeed Moghaddam

The ambitious energy target to achieve climate-neutrality in the European Union (EU) energy system raises the feasibility question of using only renewables across all energy sectors. As one of the EU's leading industrialized countries,…

Physics and Society · Physics 2021-03-09 Md Nasimul Islam Maruf

Energy savings from efficiency methods in individual residential buildings are measured in 10's of dollars, while the energy savings from such measures nationally would amount to 10's of billions of dollars, leading to the "tragedy of the…

Systems and Control · Electrical Eng. & Systems 2020-09-28 Ljuboslav Boskic , Igor Mezic

Energy consumption for hot water production is a major draw in high efficiency buildings. Optimizing this has typically been approached from a thermodynamics perspective, decoupled from occupant influence. Furthermore, optimization usually…

Systems and Control · Computer Science 2018-01-08 Hussain Kazmi , Fahad Mehmood , Stefan Lodeweyckx , Johan Driesen

With the press of global climate change, extreme weather and sudden weather changes are becoming increasingly common. To maintain a comfortable indoor environment and minimize the contribution of the building to climate change as much as…

Machine Learning · Computer Science 2025-12-30 Liping Sun , Yucheng Guo , Siliang Lu , Zhenzhen Li

Demand-side response from space heating in residential buildings can potentially provide a huge amount of flexibility for the power system, particularly with deep electrification of the heat sector. In this context, this paper presents a…

Systems and Control · Electrical Eng. & Systems 2023-02-22 Zihang Dong , Xi Zhang , Goran Strbac

Achieving net-zero targets requires the phase-out of fossil-based heating. A major challenge is the seasonal mismatch between renewable heat supply and demand. District heating networks often dispose of excess heat in summer and rely on…

Systems and Control · Electrical Eng. & Systems 2025-09-11 Ueli Schilt , Somesh Vijayananda , Sarah Schneeberger , Manuel Meyer , Santhosh Iyyakkunnel , Pascal Marc Vecsei , Philipp Schuetz

As urbanization and climate change progress, urban heat island effects are becoming more frequent and severe. To formulate effective mitigation plans, cities require detailed air temperature data, yet conventional machine learning models…

Computer Vision and Pattern Recognition · Computer Science 2025-10-22 Jannis Fleckenstein , David Kreismann , Tamara Rosemary Govindasamy , Thomas Brunschwiler , Etienne Vos , Mattia Rigotti

Climate change has become a major problem for humanity in the last two decades. One of the reasons that caused it, is our daily energy waste. People consume electricity in order to use home/work appliances and devices and also reach certain…

Computers and Society · Computer Science 2022-06-08 Stavros Mischos , Eleanna Dalagdi , Dimitris Vrakas

Whole-economy scenarios for limiting global warming to 1.5C suggest that direct carbon emissions in the buildings sector should decrease to almost zero by 2050, but leave unanswered the question how this could be achieved by real-world…

Economics · Quantitative Finance 2018-05-08 Florian Knobloch , Hector Pollitt , Unnada Chewpreecha , Vassilis Daioglou , Jean-Francois Mercure

The development of current building energy system operation has benefited from: 1. Informational support from the optimal design through simulation or first-principles models; 2. System load and energy prediction through machine learning…

Machine Learning · Computer Science 2023-02-22 Xia Chen , Xiaoye Cai , Alexander Kümpel , Dirk Müller , Philipp Geyer

Decarbonization in buildings calls for advanced control strategies that coordinate on-site renewables, grid electricity, and thermal demand. Literature approaches typically rely on demand side management strategies or on active energy…

Systems and Control · Electrical Eng. & Systems 2026-03-31 Michela Boffi , Jessica Leoni , Fabrizio Leonforte , Mara Tanelli , Paolo Oliaro

This paper investigates a method to improve buildings' thermal predictive control performance via online identification and excitation (active learning process) that minimally disrupts normal operations. In previous studies we have…

Systems and Control · Computer Science 2015-12-29 Peter Radecki , Brandon Hencey
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