Results 91 to 100 of about 1,404 (265)
IEEJ Transactions on Electrical and Electronic Engineering, EarlyView.Most countries, including Japan, are focused on achieving net‐zero greenhouse gas (GHG) emissions by 2050, which requires quick action. Despite the increasing level of renewable power generation in power grids, fossil fuel power plants still have a significant role in producing GHG emissions, causing serious environmental issues.
Kadyrbek Kozhobekov +4 more
wiley +1 more source
Veterinary Record, EarlyView.Abstract Background This study describes the development of a data landscape analysis protocol that identifies and characterises animal health data sources to support key regulatory activities throughout the life cycle of veterinary medicines. Methods The protocol included: development of criteria to identify data sources; selection of variables to ...
Ewa Pacholewicz +4 more
wiley +1 more source
EPO Extension of Dispatching Rules to Minimize Effects of Time Uncertainty in Production Scheduling
Applied SciencesThe increasingly widespread concept of Industry 4.0 and Digital Twins, as well as the competitive global markets, make it essential to produce goods in a timely and cost-effective manner.
Radosław Puka +3 more
doaj +1 more source
Bio‐Inspired Optimisation Methods Applied to Low Carbon Power and Energy Problems: A Survey
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Bio‐inspired optimisation methods have been widely applied to complex real‐world problems, particularly in low‐carbon power and energy systems, where optimisation tasks often involve high‐dimensional, constrained and mixed‐integer characteristics.
Tianyu Hu +4 more
wiley +1 more source
Modeling ambulance dispatching rules for EMS-systems
, 2016 This thesis presents a study on efficient dispatching rules in ambulance dispatching. By efficient dispatching rules, we mean such dispatching rules that lower response times for priority 1 calls while keeping response times for priority 2 calls at an adequate level.
Knoops, Lorinde, Lundgren, Tilda
openaire +1 more source
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT This paper presents HealthNet, a novel framework for the dynamic optimisation of healthcare transportation networks using multi‐agent reinforcement learning. HealthNet leverages a spatiotemporal dependency module to capture complex spatiotemporal relationships in healthcare demand and resource allocation patterns, combined with centralised ...
Jianhui Lv +3 more
wiley +1 more source
Applied SciencesThis paper presents a robust and adaptable framework for predictive–reactive rescheduling in identical parallel-machine environments. The proposed Multi-Purpose Intelligent Utility (MIU) methodology utilizes heuristic methods to efficiently address the ...
Mahmut İbrahim Ulucak, Hadi Gökçen
doaj +1 more source
A robust optimal scheduling system based on multi-performance driving for complex manufacturing systems. [PDF]
Sci Rep, 2023 Yu Q, Zhang Y, Zhao H, Yu T, Li L.
europepmc +1 more source
Energy Internet, EarlyView.ABSTRACT With the advancement of smart grid and Internet of Things, alongside broad adoption of distributed energy resources, precise profiling of residential users has become vital to grid operational efficiency and load forecasting accuracy. However, existing profiling approaches mainly rely on single‐source load data and fail to capture the dynamic ...
Danlin Li +6 more
wiley +1 more source
Energy Internet, EarlyView.ABSTRACT In recent years, extreme cold disasters have occurred frequently worldwide. The security of rural distribution network is threatened. The current research on enhancing the resilience of distribution network fails to consider the changes in the operating characteristics and efficiency of equipment under extreme cold disasters.
Zhigang Zhang +5 more
wiley +1 more source