Scheduling and Control of Ice-based Thermal Energy Storage HVAC Based on Reinforcement Learning DOI
Yubin Fu, Can Cui, Xinli Wang

и другие.

Опубликована: Дек. 8, 2024

Язык: Английский

Unlocking optimal performance and flow level control of three-phase separator based on reinforcement learning: A case study in Basra refinery DOI

Zeinab A.K. Abdullah,

F. Ranjbar,

V. Zare

и другие.

Thermal Science and Engineering Progress, Год журнала: 2024, Номер 55, С. 102885 - 102885

Опубликована: Сен. 7, 2024

Язык: Английский

Процитировано

1
Emerging Trends in Applying Artificial Intelligence to Monkeypox Disease: A Bibliometric Analysis DOI
Yahya Layth Khaleel, Mustafa Abdulfattah Habeeb, Rabab Benotsmane

и другие.

Applied Data Science and Analysis, Год журнала: 2024, Номер 2024, С. 148 - 164

Опубликована: Сен. 8, 2024

Monkeypox is a rather rare viral infectious disease that initially did not receive much attention but has recently become subject of concern from the point view public health. Artificial intelligence (AI) techniques are considered beneficial when it comes to diagnosis and identification through medical big data, including imaging other details patients’ information systems. Therefore, this work performs bibliometric analysis incorporate fields AI bibliometrics discuss trends future research opportunities in Monkeypox. A search over various databases was performed title abstracts articles were reviewed, resulting total 251 articles. After eliminating duplicates irrelevant papers, 108 found be suitable for study. In reviewing these studies, given on who contributed topics or fields, what new appeared time, papers most notable. The main added value outline reader process how conduct correct comprehensive by examining real case study related disease. As result, shows great potential improve diagnostics, treatment, health recommendations connected with Possibly, application can enhance responses outcomes since hasten effective interventions.

Язык: Английский

Процитировано

1
Research on Energy-Saving Control Strategies for Single-Effect Absorption Refrigeration Systems DOI Creative Commons

Zhenchang Liu,

Ai‐Guo Wu, Haitang Wen

и другие.

Energies, Год журнала: 2024, Номер 17(18), С. 4658 - 4658

Опубликована: Сен. 18, 2024

The automatic control device is a critical component of absorption refrigeration systems. Its functional enhancement can reduce operating costs, improve energy efficiency, and ensure long-term stable unit operation. Given that systems operate under various dynamic conditions, the rational design strategies particularly important. This study analyzes influence changes in cooling water heat source flow rates on outlet temperature chilled based open-loop response characteristics It proposes dual-loop energy-saving strategy for single-effect hot lithium bromide setpoint comprehensive optimization algorithm. Considering multiple variables, strong coupling, large inertia, long time delay, nonlinear systems, as well difficulties modeling these this applies model-free adaptive algorithm to system’s control. derives both SISO MIMO algorithms with time-delay components. Through simulations comparing MFAC, improved traditional PID control, demonstrated effectively system consumption by approximately 20%, decrease power about 10%, enhance SCOP 19.3%.

Язык: Английский

Процитировано

0
Scheduling and Control of Ice-based Thermal Energy Storage HVAC Based on Reinforcement Learning DOI
Yubin Fu, Can Cui, Xinli Wang

и другие.

Опубликована: Дек. 8, 2024

Язык: Английский

Процитировано

0