Paper

  • Sustainability Assessment of Typical Energy Storage Technologies for Peak Shaving Scenarios Based on the Full Life Cycle

    ECOS 2023

    Sustainability Assessment of Typical Energy Storage Technologies for Peak Shaving Scenarios Based on the Full Life Cycle

    Xiaoqu Han, Nana Chen, Yanxin Li, Xiaofan Huang, Jiarui Li, Junjie Yan p2843-2854 from 36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2023)
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  • SUSTAINABLE AND TEMPORARY USE OF VACANT BUILDINGS AND SITES THROUGH SIMPLE AND MODULAR STRUCTURAL MEASURES

    World Conference on Timber Engineering 2025

    SUSTAINABLE AND TEMPORARY USE OF VACANT BUILDINGS AND SITES THROUGH SIMPLE AND MODULAR STRUCTURAL MEASURES

    Christophe Sigrist, Joaquim Escoda Llorens, Edyta Augustynowicz p350-358 from 14th World Conference on Timber Engineering 2025 (WCTE 2025)
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  • SUSTAINABLE ASSESSMENT: A CONTRIBUTION TO IMPROVE THE RELIABILITY OF NDT ON OLD CHESTNUT PURLINS

    World Conference on Timber Engineering 2023 (WCTE 2023)

    SUSTAINABLE ASSESSMENT: A CONTRIBUTION TO IMPROVE THE RELIABILITY OF NDT ON OLD CHESTNUT PURLINS

    Vittoria Borghese, Silvia Santini, Lorena Sguerri p957-966 from World Conference on Timber Engineering (WCTE 2023)
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  • Sustainable Online Reinforcement Learning for Auto-Bidding

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Sustainable Online Reinforcement Learning for Auto-Bidding

    Rongquan Bai, Yusen Huo, Zhiyu Mou, Mingzhou Xie, Jian Xu, Chuan Yu, Bo Zheng p2651-2663 from Advances in Neural Information Processing Systems 35
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  • SUSTAINABLE REUSEABLE TIMBER-CONCRETE COMPOSITE STRUCTURAL FLOORING SYSTEM

    World Conference on Timber Engineering 2025

    SUSTAINABLE REUSEABLE TIMBER-CONCRETE COMPOSITE STRUCTURAL FLOORING SYSTEM

    Alireza Fadai, Johann Scheibenreiter, Andreas Ringhofer p2357-2363 from 14th World Conference on Timber Engineering 2025 (WCTE 2025)
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  • SustainDC: Benchmarking for Sustainable Data Center Control

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    SustainDC: Benchmarking for Sustainable Data Center Control

    Ashwin Babu, Cullen Bash, Sahand Ghorbanpour, Antonio Guillen, Vineet Gundecha, Lekhapriya Kashyap, Ricardo Luna, Dejan Markovikj, Sajad Mousavi, Avisek Naug, Desik Rengarajan, Soumyendu Sarkar p100630-100669 from Advances in Neural Information Processing Systems 37
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  • SustainGym: Reinforcement Learning Environments for Sustainable Energy Systems

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    SustainGym: Reinforcement Learning Environments for Sustainable Energy Systems

    Julio Arroyo, Yize Chen, Nicolas Christianson, Rajeev Datta, Azarang Golmohammadi, Mohammad Mehdi Hosseini, Victor Li, Yuanyuan Shi, Adam Wierman, Christopher Yeh, Yisong Yue, Chi Zhang p59464-59476 from Advances in Neural Information Processing Systems 36
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  • SutraNets: Sub-series Autoregressive Networks for Long-Sequence, Probabilistic Forecasting

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    SutraNets: Sub-series Autoregressive Networks for Long-Sequence, Probabilistic Forecasting

    Shane Bergsma, Lei Guo, Tim Zeyl p30518-30533 from Advances in Neural Information Processing Systems 36
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  • Svadhyaya: A Story Telling Model for Discovery Oriented Learning

    Research In Engineering Education Network

    Svadhyaya: A Story Telling Model for Discovery Oriented Learning

    Prakash Hegade, Ashok Shettar, Vijayalakshmi M, Preeti Patil p220-227 from 10th Research in Engineering Education Symposium (REES 2024)
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  • SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors

    Aleksandar Bojchevski, Eunsol Choi, Alex Dimakis, Joydeep Ghosh, Gautham Gudur, Vijay Lingam, Sujay Sanghavi, Aneesh Shetty, Atula Tejaswi, Aditya Vavre p41425-41446 from Advances in Neural Information Processing Systems 37
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  • Swap Agnostic Learning, or Characterizing Omniprediction via Multicalibration

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Swap Agnostic Learning, or Characterizing Omniprediction via Multicalibration

    Parikshit Gopalan, Michael Kim, Omer Reingold p39936-39956 from Advances in Neural Information Processing Systems 36
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  • SwapPrompt: Test-Time Prompt Adaptation for Vision-Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    SwapPrompt: Test-Time Prompt Adaptation for Vision-Language Models

    Song Guo, Xiaosong Ma, Wenchao Xu, Jie Zhang p65252-65264 from Advances in Neural Information Processing Systems 36
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