[HTML][HTML] Smart design and control of thermal energy storage in low-temperature heating and high-temperature cooling systems: A comprehensive review

A Behzadi, S Holmberg, C Duwig, F Haghighat… - … and Sustainable Energy …, 2022‏ - Elsevier
Thermal energy storage (TES) is recognized as a well-established technology added to the
smart energy systems to support the immediate increase in energy demand, flatten the rapid …

An effective PID control method of air conditioning system for electric drive workshop based on IBK-IFNN two-stage optimization

X Gong, X Wang, W **ong, H Zhang, Y **n - Journal of Building …, 2024‏ - Elsevier
A proportional-integral-derivative (PID) controller is a commonly used method for controlling
air conditioning systems in electric drive workshops. However, traditional PID controllers …

Simplified Energy Model and Multi-Objective Energy Consumption Optimization of a Residential House

M Mrazek, D Honc, E Riva Sanseverino, G Zizzo - Applied Sciences, 2022‏ - mdpi.com
Featured Application The potential application of the proposed model is a computationally
inexpensive semi-or fully automated system for the optimization of operation in residential …

Hybrid energy storages in buildings with artificial intelligence

Y Sun, Z Liu - Advances in Digitalization and Machine Learning for …, 2024‏ - Elsevier
Energy storage systems (ESSs) integrated in buildings not only ease the stress on grids
through peak shifting and peak shaving, but also contribute to solving the mismatch between …

Social and economic analysis of integrated building transportation energy system

Z Liu, Y Sun, R Huang - Advances in Digitalization and Machine Learning …, 2024‏ - Elsevier
The increasing greenhouse gas (CO 2) emissions constitute one of the most significant
global environmental issues. CO 2 emissions from buildings and transportation are …

[كتاب][B] Advances in Digitalization and Machine Learning for Integrated Building-Transportation Energy Systems

Y Zhou, J Yang, G Zhang, PD Lund - 2023‏ - books.google.com
Advances in Digitalization and Machine Learning for Integrated Building-Transportation
Energy Systems examines the combined impact of buildings and transportation systems on …

Application of big data and cloud computing for the development of integrated smart building transportation energy systems

Y Zhou - Advances in Digitalization and Machine Learning for …, 2024‏ - Elsevier
Smart sensors and metering technologies will bring multienergy systems into the energy
digitalization era. The technology development of big data and cloud computing is of …

[HTML][HTML] An inner boundary condition of moisture diffusion model for simulating transient nonlinear moisture transport in Chinese fir

X Ma, D Zhao, C Yao, J Zhao - Heliyon, 2022‏ - cell.com
This paper proposed an inner boundary condition of moisture diffusion model for simulating
transient nonlinear moisture transport of Chinese fir (Cunninghamia lanceolata). The inner …

Optimizing Grid Performance in Trinidad and Tobago: The Role of Vehicle-to-Grid (V2G) Technology

C Boodoo - European Journal of Energy Research, 2024‏ - ej-energy.org
This study investigates the impact of integrating 10,000 battery electric vehicles (BEVs) into
the electrical grid of Trinidad and Tobago through three charging scenarios: non …