[HTML][HTML] Current applications and potential future directions of reinforcement learning-based Digital Twins in agriculture

G Goldenits, K Mallinger, S Raubitzek… - Smart Agricultural …, 2024 - Elsevier
Digital Twins have gained attention in various industries by creating virtual replicas of real-
world systems through data collection and machine learning. These replicas are used to run …

Recent research and development of individual precision cooling systems for dairy cows–A review

W Zhang, R Yang, CY Choi, L Rong, G Zhang… - … and Electronics in …, 2024 - Elsevier
Individual precision-cooling systems are intended to cool individual cows according to their
specific cooling needs. Now, with the rapid development of artificial intelligence and …

[HTML][HTML] An applied deep reinforcement learning approach to control active networked microgrids in smart cities with multi-level participation of battery energy storage …

R Sepehrzad, ASG Langeroudi, A Khodadadi… - Sustainable Cities and …, 2024 - Elsevier
This study proposed an intelligent energy management strategy for islanded networked
microgrids (NMGs) in smart cities considering the renewable energy sources uncertainties …

Decarbonization through smart energy management: Climate control in building-integrated rooftop greenhouses for urban agriculture across various climate …

WH Chen, F You - Journal of Cleaner Production, 2024 - Elsevier
This paper investigates the potential benefits of integrating rooftop greenhouses (RTGs) with
buildings to reduce energy and CO 2 costs, contributing to urban decarbonization efforts …

AI-enabled cyber-physical-biological systems for smart energy management and sustainable food production in a plant factory

G Hu, F You - Applied Energy, 2024 - Elsevier
The advancement of controlled-environment agriculture, particularly in plant factories, offers
an innovative solution to address the rising demand for food due to global population growth …

Personalized demand response based on sub-CDL considering energy consumption characteristics of customers

Y Shao, S Fan, Y Meng, K Jia, G He - Applied Energy, 2024 - Elsevier
Demand response (DR) is a promising solution to unlock the flexibility of numerous
customers with the rising proliferation of renewable energy (RE) in power system. However …

Energy optimization and plant comfort management in smart greenhouses using the artificial bee colony algorithm

M Jawad, F Wahid, S Ali, Y Ma, A Alkhyyat, J Khan… - Scientific Reports, 2025 - nature.com
Agriculture is an essential component of human sustenance in this world. These days, with a
growing population, we must significantly increase agricultural productivity to meet demand …

Food-energy-water nexus considerations in optimal greenhouse farming systems design and operation

M Di Martino, S Namany, F Mahmood, T Al-Ansari… - Applied Energy, 2025 - Elsevier
Greenhouse farming systems have the potential to sustainably relieve the stresses on food
supply systems caused by a globally increasing population, together with the reduction of …

Stochastic energy management of large industrial-scale aquaponics considering robust optimization-based demand response program

Y Zheng, W Zhao, M Varga, D Li - Applied Energy, 2024 - Elsevier
Large industrial-scale aquaponics systems, which combine industrial water recycling
aquaculture technology with soilless culture technology, are innovative and sustainable …

Effect of excess air ratio and spark timing on the combustion and emission characteristics of turbulent jet ignition direct injection hydrogen engine

Y Qiang, S Zhao, J Yang, J Cai, F Su, S Wang… - International Journal of …, 2024 - Elsevier
This study focuses on a four-cylinder, four-stroke hydrogen engine equipped with a passive
pre-chamber (PC). The effects of excess air ratio (λ) on the performance of the turbulent jet …