Robust Expansion Planning of Electric Vehicle Charging System and Distribution Networks by Yue Xiang, Ping Xue, Yanliang Wang, Lixiong Xu, Wang Ma, Miadreza Shafie-khah, Junlong Li, Junyong Liu

“…To address this issue, a collaborative planning scheme of the EV charging system and distribution networks that combines economic and reliability benefits is proposed, which is formulated as a two-stage distributionally robust optimization model considering source-load uncertainties. …”
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Social Programs in the Structure of Expenditures of the Consolidated Budget of the Federa-tion Subject by A. S. Dmitriev, A. M. Stash

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Optimizing Smart Grid Load Forecasting via a Hybrid Long Short-Term Memory-XGBoost Framework: Enhancing Accuracy, Robustness, and Energy Management by Falah Dakheel, Mesut Çevik

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IntelliGrid AI: A Blockchain and Deep-Learning Framework for Optimized Home Energy Management with V2H and H2V Integration by Sami Binyamin, Sami Ben Slama

“…The integration of renewable energy sources and electric vehicles has become a focal point for industries and academia due to its profound economic, environmental, and technological implications. …”
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Facility location problem for senior centers in an upcoming super-aging society by Eun Hak Lee, Jonghwa Jeong

“…The elbow method is employed to identify the optimal number of new centers, balancing service accessibility and resource allocation. …”
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Dynamic Grouping Control of BESS for Remaining Useful Life Extension and Overall Energy Efficiency Improvement in Smoothing Wind Power Fluctuations by Yang Yu, Dongyang Chen, Yuwei Wu, Boxiao Wang, Yuhang Huo, Wentao Lu, Zengqiang Mi

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Nighttime light intensity and brightness suitability in urban functional zones by Ming Liu, Ruicong Li, Yiwei Li, Ezzaddeen Ali Mohammed Saeed AL-Mowallad, Chenglong Wu, Wenjing Wang

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Deep learning-based anomaly detection for precision field crop protection by Cheng Wei, Yifeng Shan, MengZhe Zhen

“…Traditional methods struggle with the complexity and variability of agricultural data collected from diverse sources.MethodsTo address these challenges, we propose a novel framework that integrates the Integrated Multi-Modal Smart Farming Network (IMSFNet) with the Adaptive Resource Optimization Strategy (AROS). …”
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An overview of distributed economic dispatch of microgrids: advances and challenges by Lei Sun, Wenjing An, Yangkai Chen, Peifeng Zhao, Derui Ding

“…Economic dispatch (ED) is necessary to achieve optimal power allocation while meeting practical physical constraints and ensuring economic benefits and production safety. …”
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Deep learning-based time series prediction for precision field crop protection by Tao He, Meijin Li, Dong Jin

“…We introduce the Resource-Aware Adaptive Decision Algorithm (RAADA), which leverages reinforcement learning to translate SADF-Net’s predictions into optimized strategies for resource allocation, such as irrigation scheduling and pest control. …”
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Double layered expansion planning for virtual power plants considering virtual energy storage systems by Jianghai Ma, Xuanwen Gu, Yao Zhang, Jinming Gu, Wenjie Luo, Feng Gao

“…Subsequently, a bi-level optimization model is established, wherein the upper level minimizes energy storage configuration costs through capacity allocation optimization, while the lower level maximizes operational revenue through energy storage scheduling strategy determination. …”
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Estimating the influential impact share of reducing household energy consumption across different sectors aimed at increasing cumulative profits in Iran: A non-linear programming o... by Ali Abbasi Godarzi, Khadijeh Abdi Rokni

“…However, it should be noted that in the considered combined scenarios, the greater the share of the first scenario, the higher the resulting profit, and the optimal point is achieved in the first scenario. …”
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Distributed robust scheduling of distribution-microgrid based on deep learning method integration by WANG Yihong, LIU Jichun, QIU Gao, ZHOU Hao, HE Peixin

“…In the first stage, the energy pre-allocation is carried out to achieve the optimal global operation economy of multi-microgrid region. …”
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Distributionally robust microgrid formation for service restoration in distribution systems against extended extreme events by Ran Zhu, Hongzhe Liu, Wenwu Yu, Wei Gu, Jin Zhao

“…This paper proposes a novel MF-based SR approach for the DS to maximize the expected weighted load served ratio (WLSR) by allocating mobile power sources and dynamic MF scheduling in the worst case against extended extreme events. …”
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Using New York City’s Geographic Data in an Innovative Application of Generative Adversarial Networks (GANs) to Produce Cooling Comparisons of Urban Design by Yuanyuan Li, Lina Zhao, Hao Zheng, Xiaozhou Yang

“…However, existing research has not sufficiently explored the optimization of UBGS spatial configurations or their interactions with urban morphology. …”
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A multi-agent system approach for real-time energy management and control in hybrid low-voltage microgrids by Doha El Hafiane, Abdelmounime El Magri, Houssam Eddine Chakir, Rachid Lajouad, Soukaina Boudoudouh

“…The well-defined flexibilities of all microgrid components to adjust their power are exploited to achieve optimal power allocation. The approach is tested and validated by developing a simulation environment using the Java Agent Development (JADE) framework, enabling the implementation of microgrid optimization through MATLAB/Simulink.…”
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Collaborative Management of Water‐Energy‐Food‐Ecosystems Nexus in Central Asia Under Uncertainty by Yuan Ma, Yongping Li, Guohe Huang, Yuanrui Liu, Yufei Zhang

“…In this study, a novel optimization method named as multi‐level chance‐constrained fuzzy programming (MCFP) is developed to jointly manage the WEFE nexus. …”
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CART-ANOVA-Based Transfer Learning Approach for Seven Distinct Tumor Classification Schemes with Generalization Capability by Shiraz Afzal, Muhammad Rauf, Shahzad Ashraf, Shahrin Bin Md Ayob, Zeeshan Ahmad Arfeen

“…<b>Methods:</b> The proposed framework employs a ResNet18-based knowledge transfer learning (KTL) model trained on a primary dataset, with 20% allocated for testing. Hyperparameters were optimized using CART-ANOVA analysis, and statistical validation ensured robust parameter selection. …”
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A novel and easy‐to‐implement modulation scheme for reducing modulation complexity in modular multilevel converter by Zichen Wang, Zhijie Liu, Ke‐Jun Li, Jinxin Dou, Zhonglin Guo, Xiaoxue Ge

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Addressing geographical challenges in locating strategic nickel industrial parks: a case study of Indonesia by Hasan Nur, Aadhaar Chaturvedi, Valery Pavlov

“…This paper addresses a real-world facility location problem by optimising the siting of nickel industrial parks in Indonesia, the source of nearly half the world’s nickel supply. A deterministic single-period mixed-integer linear programming model is developed to determine optimal locations, allocations, and processing capacities that minimise total costs. …”
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