Showing 41 - 60 results of 299 for search '"Open energy system models', query time: 0.08s Refine Results
  1. 41

    Cosimulation of Power and Temperature Models at the SystemC/TLM for a Soft-Core Processor by Zineb El Hariti, Abdelhakim Alali, Mohamed Sadik, Kaoutar Aamali

    Published 2020-01-01
    “…These models are implemented on an open virtual platform Model Power-Consumption and Temperature in SystemC/TLM (LIBTLMPWT) based on a representative SoC architecture. …”
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    Driving energy transition in BRI nations: The role of education, globalization, trade liberalization, and financial deepening – A comprehensive linear and nonlinear approach by Md Qamaruzzaman

    Published 2025-01-01
    “…This study investigates the drivers of energy transition among Belt and Road Initiative (BRI) countries, focusing on the roles of education, globalization, trade openness, and financial development. …”
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  4. 44

    Theoretical Model Development for Energy Motion of Dusty Turbulent Flow of Fibre Suspensions in a Rotational Frame by Shams Forruque Ahmed

    Published 2022-01-01
    “…This study, therefore, aims to build a theoretical model for the energy motion of dusty turbulent flow of fibre suspensions in a rotational frame. …”
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    Comparative technoeconomic analysis of centralised and decentralised water source heat pump systems using CATHeaPS by Orestis Angelidis, Anastasia Ioannou, Daniel Friedrich, Alan Thomson, Gioia Falcone

    Published 2025-01-01
    “…This study introduces CATHeaPS, a Centralisation Analysis Tool for Heat Pump Systems, a user-friendly open access modelling tool that enables the technoeconomic assessment of (a) district heating networks with a centralised WSHP, and (b) ambient networks with decentralised building level WSHPs against individual ASHPs and GB for a range of consumer classes. …”
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  11. 51

    Techno-economic dataset for energy market and capacity payment co-optimization in the Dominican Republicʼs power marketMendeley Data by René Báez-Santana, Miguel Aybar-Mejía, Máximo A. Domínguez-Garabitos, Víctor S. Ocaña-Guevara

    Published 2025-02-01
    “…These modelling tools need data to simulate different scenarios in the power system to clarify the design of energy policies. …”
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    A comprehensive analysis of advanced solar panel productivity and efficiency through numerical models and emotional neural networks by Ali Basem, Serikzhan Opakhai, Zakaria Mohamed Salem Elbarbary, Farruh Atamurotov, Natei Ermias Benti

    Published 2025-01-01
    “…To address this gap, a numerical model alongside a novel EANN was employed to simulate the system’s electrical characteristics, including open-circuit voltage, short-circuit current, system resistances, maximum power point characteristics, and characteristic curves. …”
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  16. 56

    Filtered dataset of Irish energy performance certificates: A data-driven approach for enhanced building stock modellingMendeley DataGithubSEAI NBER by Kumar Raushan, Tomás Mac Uidhir, Marisa Llorens Salvador, Brian Norton, Ciara Ahern

    Published 2025-04-01
    “…This processed dataset enhances the quality and robustness of the EPC data for use in building stock modelling and research. The data is openly available in .CSV format along with the methodology used for processing the raw database, published in full Python scripts. …”
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    A Double Resistive–Capacitive Approach for the Analysis of a Hybrid Battery–Ultracapacitor Integration Study by Adrian Chmielewski, Piotr Piórkowski, Krzysztof Bogdziński, Paweł Krawczyk, Jakub Lorencki, Artur Kopczyński, Jakub Możaryn, Ramon Costa-Castelló, Stepan Ozana

    Published 2025-01-01
    “…Limitations of the proposed models are also discussed. Finally, the main advantages of HESSs are highlighted in terms of energy and open-circuit voltage (OCV) characteristics.…”
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  20. 60

    RL-ADN: A high-performance Deep Reinforcement Learning environment for optimal Energy Storage Systems dispatch in active distribution networks by Shengren Hou, Shuyi Gao, Weijie Xia, Edgar Mauricio Salazar Duque, Peter Palensky, Pedro P. Vergara

    Published 2025-01-01
    “…Deep Reinforcement Learning (DRL) presents a promising avenue for optimizing Energy Storage Systems (ESSs) dispatch in distribution networks. …”
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