Research on integrated energy dispatch with a reward and punishment ladder-type carbon trading and source load uncertainty by ZHAO Yiming, PENG Daogang, XU Chunmei, ZHAO Huirong, LI Jianfang

“…At this stage, the concept of low-carbon development is particularly important in order to fully realize the optimal operation of the integrated energy system. …”
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A dual-layer planning method based on improved MOPSO for distribution networks considering source–load temporal uncertainty by Guilian Wu, Guilian Wu, Jia Lin, Jinlin Liao

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Social Factors Influencing Healthcare Expenditures: A Machine Learning Perspective on Australia’s Fiscal Challenges by Wei Gu, Zhantian Zhang, Ou Liu

“…The findings underscore the urgent need to optimize resource allocation and address regional disparities to promote the sustainability and equity of Australia’s healthcare system.…”
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How do animals weigh conflicting information about reward sources over time? Comparing dynamic averaging models by Jack Van Allsburg, Timothy A. Shahan

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An Examination of Optimization Techniques for Resolving Hydro Generation Scheduling Issues by Bassam Mohsin Atiyah, Anwar H. Hameed

“… Hydropower plants' optimal scheduling of energy (OSE) is a crucial component of electric power systems and is a topic of intense academic investigation. …”
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Investigating the Nonlinear Relationship Between the Built Environment and Urban Vitality Based on Multi-Source Data and Interpretable Machine Learning by Wenhao Liu, Zhen Yang, Chen Gui, Gen Li, Hongyi Xu

“…The analytical outcomes of this study provide valuable insights for optimizing the spatial layout and resource allocation within urban settings, offering references for urban planning and sustainable development initiatives.…”
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Spatiotemporal patterns of wet–dry encounters between water source and receiving areas in the South-to-North water transfer project by Yuping Han, Jinhang Li, Mengdie Zhao

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A dual time-scale optimal dispatch algorithm for PV systems: Integrating centralized optimal power dispatch with distributed power deviation absorption in DC smart grids by Jiahua Ni, Yuwei Chen, Arman Goudarzi, Tong Wang, Lingang Yang, Shengwei Mei

“…For short-term adjustments, a distributed consensus algorithm dynamically allocates power deviations among PV sources using reserve capacity, eliminating the need for probabilistic uncertainty modeling. …”
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Optimizing spatial distribution of wastewater-based epidemiology to advance health equity by Maria L. Daza-Torres, J. Cricelio Montesinos-López, César Herrera, Yury E. García, Colleen C. Naughton, Heather N. Bischel, Miriam Nuño

“…We evaluate various scenarios, considering different weighting factors, to optimize the allocation of WWTPs with monitoring systems. …”
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Driving innovation: When design collaboration becomes open source, how do reward mechanisms and in-process feedback act as catalysts. by Boqun Xu, Kexin Xu, Yuning Zhu, Yiting Zhou, Xiaojian Liu

“…Results indicate that the Quota Allocation Method (QAM) increases individual productivity (quantity) and competitive awareness, while the Contribution-Based Allocation Method (CAM) fosters creativity (quality) and long-term engagement, along with higher referencing density and satisfaction. …”
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AI-Driven Predictive Control for Dynamic Energy Optimization in Flying Cars by Mohammed Gronfula, Khairy Sayed

“…The proposed EMS dynamically adjusts power allocation during takeoff, cruise, landing, and ground operations, ensuring optimal energy utilization while minimizing losses. …”
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Optimization Method for Network Awareness in Different Domains of LEO Communication Constellation by DI Hang, DONG Tao, LIU Zhihui, WEI Shuotong, ZHANG Qiwei, ZHANG Dingyun

“…The heterogeneous and time-varying characteristics of network resources in LEO communication constellation, as well as the diversities of service requirements, make it difficult to allocate network resources. Therefore, efficient network awareness optimization methods are urgently needed. …”
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Framework and Outlooks of Multi-Source–Grid–Load Coordinated Low-Carbon Operational Systems Considering Demand-Side Hierarchical Response by Yong Cui, Jian Zheng, Wenying Wu, Kun Xu, Desen Ji, Tian Di

“…Meanwhile, considering the marginal contribution of each load-side node to the system carbon emissions, a combined Shapley–Topsis low-carbon demand hierarchical response mechanism is designed to guide load nodes in implementing accurate low-carbon hierarchical responses, thereby ensuring the optimal allocation and efficient utilization of system resources. …”
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Geospatial Analytics of Urban Bus Network Evolution Based on Multi-Source Spatiotemporal Data Fusion: A Case Study of Beijing, China by Xiao Li, Shaohua Wang, Liang Zhou, Yeran Sun, Jiayi Zheng, Chang Liu, Junyuan Zhou, Cheng Su, Dachuan Xu

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Identifying Inefficient Urban Residential Land within Shenzhen City: An Approach Using Gaussian Mixture Model and Multi-Source Big Data by Y. Liu, S. Liang, R. Guo, W. Wang, D. Ma, Y. Zheng, L. Zhang, Q. Liu, X. Li

“…With the rapid urbanization process and uneven resource allocation, China currently faces a declining trend in residential land use efficiency, significantly impacting urban residents' quality of life and satisfaction. …”
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Demand-Responsive Evaluation and Optimization of Fitness Facilities in Urban Park Green Spaces by Xiaohui Lv, Kangxing Li, Jiyu Cheng, Ziru Ren

“…Accurately identifying user demand provides a solid basis for optimizing the functional configuration of urban parks. (2) Methods: This study took the old city area of Zhengzhou, Henan Province, China, as a case study. …”
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Optimization of The Budget of The Industrial Complex Transformation Strategy Based on Neural Network Modeling by A. G. Boev, A. G. Puzakov, Yu. P. Anisimov

“…A methodological technique has been developed that allows choosing the optimal option for allocating the strategy budget funds between the key areas of transformation of the industrial complex, characterized by the use of neural network modeling technologies and providing the greatest increase in revenue and labor productivity while maintaining the financial and economic stability of the enterprise. …”
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Prioritizing the location of vaccination centres during the COVID-19 pandemic by bike in the Netherlands by Adel Al-Huraibi, Sherif Amer, Justine Blanford

“…In this study we explored the geographical accessibility of vaccination centres and examined their optimal location. To achieve this, we used open-source data. …”
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Multi-Stage Data-Driven Framework for Customer Journey Optimization and Operational Resilience by Tzu-Chien Wang, Ruey-Shan Guo, Chialin Chen, Chia-Kai Li

“…Optimizing customer journeys is a critical challenge in e-commerce and financial services, attracting attention from marketing, operations research, and business analytics. …”
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Optimal Operation Method for Microgrid with Wind/PV/Diesel Generator/Battery and Desalination by Qingfeng Tang, Nian Liu, Jianhua Zhang

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