Novel approach for modelling low enthalpy geothermal in deep sedimentary aquifers: a case study of 40 years of production data in the Dogger formation by Theo Renaud, Joris Popineau, John O’Sullivan, Julien Gasser Dorado

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Impact of Solar Panel Orientation on the Integration of Solar Energy in Low-Voltage Distribution Grids by Joannes I. Laveyne, Dimitar Bozalakov, Greet Van Eetvelde, Lieven Vandevelde

“…In this article, it is investigated if the orientation of solar panels can have a mitigating impact on the integration problems on residential low voltage distribution grids. An improved simulation model of a solar panel installation is constructed, which is used to simulate the impact on a residential distribution grid. …”
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VAE-Assisted Data Augmentation for Improved Molecular Prediction with Graph Neural Networks (GNNs) in Low-Data Regimes by Gabriela C. Theis Marchan, Pegah Naghshnejad, Andrew Okafor, Jose A. Romagnoli

“…This study presents a novel approach to enhancing molecular property prediction through variational autoencoder (VAE)-assisted data augmentation in low-data regimes. The methodology combines graph neural networks (GNNs) with VAEs to improve predictive accuracy on molecular datasets from MoleculeNet, specifically ESOL (water solubility) and FreeSolv (hydration-free energy). …”
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QoS Model of WSNs Communication in Smart Distribution Grid by Ruju Fang, Jianping Wang, Wei Sun, Qiyue Li

“…Traditional QoS model based on IEEE802.15.4 protocol cannot meet the communication requirements of multipriority data in smart distribution grid. …”
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MODELING DISTRIBUTION OF SAURY CATCHES IN RELATION WITH ENVIRONMENTAL FACTORS by V. V. Kulik, A. A. Baitaliuk, O. N. Katugin, E. I. Ustinova

“…The same sets of environmental parameters are used for the catches distribution modeling with GAMs and Random Forest techniques; the latter method shows better accuracy and other indices of the confusion matrix. …”
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Distributed Consensus Gossip-Based Data Fusion for Suppressing Incorrect Sensor Readings in Wireless Sensor Networks by Martin Kenyeres, Jozef Kenyeres, Sepideh Hassankhani Dolatabadi

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Distribution Network Topology Identification Considering Nonsynchronous Multi-Prosumer Data Measurement by Lizong Zhang, Fengming Zhang, Xiaolei Li, Chunlei Wang, Taotao Chen, Qingqing Wang, Huilin Hu

“…The existing distribution network topology identification methods lack of multi period measurement data, and the utilization rate of multi-user data is low, which leads to the low accuracy of distribution network topology identification. …”
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Species distribution models for crop pollination: a modelling framework applied to Great Britain. by Chiara Polce, Mette Termansen, Jesus Aguirre-Gutiérrez, Nigel D Boatman, Giles E Budge, Andrew Crowe, Michael P Garratt, Stéphane Pietravalle, Simon G Potts, Jorge A Ramirez, Kate E Somerwill, Jacobus C Biesmeijer

“…We integrated a maximum entropy species distribution model (SDM) with an existing pollination service model (PSM) to derive the availability of pollinators for crop pollination. …”
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Electricity Data Quality Enhancement Strategy Based on Low-Rank Matrix Recovery by Guo Xu, Xinliang Teng, Lei Zhang, Jianjun Xu

“…Given the near full-rank nature of low-voltage distribution area electricity consumption data, this paper employs clustering to enhance the low-rank property of the data. …”
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Vehicle Trajectory Reconstruction for Signalized Intersections with Low-Frequency Floating Car Data by Hua Wang, Changlong Gu, Washington Yotto Ochieng

“…To address this problem, this paper presents a method used with low-sample frequency data to reconstruct vehicle trajectories through intersections, without the need for extra information. …”
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Study on a Simultaneously Solving Model for Stratified Air Conditioning under Low Sidewall Air Supply System in a Large Space Building

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Utilising Smart-Meter Harmonic Data for Low-Voltage Network Topology Identification by Ali Othman, Neville R. Watson, Andrew Lapthorn, Radnya Mukhedkar

“…This paper presents a novel methodology for identifying distribution network topologies through the utilisation of smart-meter harmonic data. …”
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Topology identification and parameters estimation of LV distribution networks using open GIS data by Dong Liu, Juan S. Giraldo, Peter Palensky, Pedro P. Vergara

“…The topology of low-voltage distribution networks (LVDNs) is crucial for system analysis, e.g., distributed energy resources (DERs) integration, network hosting capacity analysis, state estimation, and electric vehicle charging management. …”
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1 bit Compressive Spectrum Sensing Algoritbm Based on Distributed Model by Zhijin Zhao, Weikang Hu, Junwei Hu

“…To relieve the network communication bandwidth pressure, a spectrum algorithm based on 1 bit compressed sensing and distributed model was proposed. The sensing data of the nodes was compressive sampled and quantified in 1 bit, and then the data was fused in fusion node, through the mode of JSM-2. …”
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Flash flood simulation based on distributed hydrological model in future scenarios by Qi Liu, Nan Zhang, Lingling Wang, Kunxia Yu, Jiayi Wu, Jingqi Wang, Meihong Ma, Meihong Ma

“…By combining the accumulated precipitation with the soil moisture content, different distributed hydrological models are applied to calculate the corresponding flood discharges for different rainfall events. …”
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Effectiveness of joint species distribution models in the presence of imperfect detection by Stephanie Elizabeth Hogg, Yan Wang, Lewi Stone

“…Abstract Joint species distribution models (JSDMs) are a recent development in biogeography and enable the spatial modelling of multiple species and their interactions and dependencies. …”
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Low-carbon economic optimization scheduling in distributed energy systems considering carbon emission responsibility and demand response by Jiahui Huang, Meng Yuan, Zhuo Zou, Yaojie Sun

“…A case study is conducted using an improved IEEE 33-node model incorporating distributed renewables with real measured data. …”
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Multi-Agent Meta Reinforcement Learning for Reliable and Low-Latency Distributed Inference in Resource-Constrained UAV Swarms by Marwan Dhuheir, Aiman Erbad, Bechir Hamdaoui, Samir Brahim Belhaouari, Mohsen Guizani, Thang X. Vu

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PM2.5 in Sri Lanka: Trend Analysis, Low-cost Sensor Correlations and Spatial Distribution by Ranil Dhammapala, Ashani Basnayake, Sarath Premasiri, Lakmal Chathuranga, Karen Mera

“…This research aims to better understand the PM2.5 distribution in Sri Lanka by analyzing data collected by that BAM, and leveraging low-cost sensors, model and remote sensing data. …”
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Research on the Modelling and Analysis of the Penetration of Renewable Sources and Storage into Electrical Networks by Eva Simonič, Sebastijan Seme, Klemen Sredenšek

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