Exploring European hydrogen demand variations under tactical uncertainty with seasonal hydrogen storage by Sebastian Emil Hummelen, Erlend Hordvei, Marianne Petersen, Stian Backe, Hongyu Zhang, Pedro Crespo del Granado

“…Achieving a net-zero energy system in Europe by 2050 will likely require large-scale deployment of hydrogen and seasonal energy storage to manage variability in renewable supply and demand. This study addresses two key objectives: (1) to develop a modeling framework that integrates seasonal storage into a stochastic multi-horizon capacity expansion model, explicitly capturing tactical uncertainty across timescales; and (2) to assess the impact of seasonal hydrogen storage on long-term investment decisions in European power and hydrogen infrastructure under three hydrogen demand scenarios. …”
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Modeling hydropower operations at the scale of a power grid: a demand-based approach by L. Baratgin, L. Baratgin, J. Polcher, P. Dumas, P. Quirion

“…</p> <p>To address this gap, this study introduces a novel demand-based approach for integrating hydropower within the routing module of land surface models. …”
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Basal Cut Prediction of a Sugarcane Culm via Numerical Simulations by Alexandre Assis Rezende Santos, Andre Luiz Gonçalves Costa, Ednilton Tavares de Andrade, Fabio Lucio Santos, Ricardo Rodrigues Magalhães

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“Teacher talk”: An empowering resource for EMI teachers across disciplines by Budsaba Kanoksilapatham

“…The increasing demand for English-Medium Instruction (EMI) in universities faces significant challenges, particularly with instructors’ limited English proficiency impacting speech intelligibility. …”
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Last-Train Timetabling under Transfer Demand Uncertainty: Mean-Variance Model and Heuristic Solution by Shuo Yang, Kai Yang, Ziyou Gao, Lixing Yang, Jungang Shi

“…Traditional models of timetable generation for last trains do not account for the fact that decision-maker (DM) often incorporates transfer demand variability within his/her decision-making process. …”
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Improving the robustness of retail workforce management with a labor flexibility strategy and consideration of demand uncertainty by Andrés Felipe Porto, Amaia Lusa, Sebastián A. Herazo, César Augusto Henao

“…This article examines the challenge of personnel scheduling problem by incorporating a labor flexibility approach that integrates annualized hours, multiskilled employees, and overtime within an uncertain demand environment. To address this problem, a two-stage stochastic optimization model is developed to determine the optimal workforce size, structure a targeted training program using a 2-chaining approach, and allocate weekly working hours, both regular and overtime, while explicitly considering demand variability. …”
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Probabilistic forecasting of renewable energy and electricity demand using Graph-based Denoising Diffusion Probabilistic Model by Amir Miraki, Pekka Parviainen, Reza Arghandeh

“…Traditional deterministic methods fail to capture the inherent uncertainties associated with intermittent renewable sources and fluctuating demand patterns. This paper proposes a novel denoising diffusion method for multivariate time series probabilistic forecasting that explicitly models the interdependencies between variables through graph modeling. …”
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Supply–Demand Dynamics Quantification and Distributionally Robust Scheduling for Renewable-Integrated Power Systems with Flexibility Constraints by Jiaji Liang, Jinniu Miao, Lei Sun, Liqian Zhao, Jingyang Wu, Peng Du, Ge Cao, Wei Zhao

“…Second, a two-stage DRO model is established, incorporating demand-side resources such as electric vehicle fleets as flexibility providers. …”
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URDU–THE ROLE OF YOUTH TO ELIMINATE THE TERRORISM (IN THE LIGHT OF PROPHET (S.A.W) ŞEERÂH) by Ahmad Hassan, Noor Hayat Khan

“… Islam is the Religion of nature and prohibits all such deeds that explicitly or implicitly promote violence. Our Holy prophet has repudiated every such route of which could potentially disrupt the environment Peace and prosperity. …”
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Study of the Design Optimization of an AIGC Ordering Interface Under the Dual Paths of User Demand Mapping and Conflict Resolution by Zhixiong Huang, Hongxiang Song, Xinhui Hong

“…Based on a human–computer interaction design framework, this study proposes a dual-path optimization model integrating user demand mapping and conflict resolution to synergize explicit need translation with innovative design problem solving. …”
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Maximizing Tax Revenue for Profit-Maximizing Monopolist with the CES Production Function and Linear Demand as a Stackelberg Game Problem by Zrinka Lukač, Krunoslav Puljić, Vedran Kojić

“…The model assumes technology given by a constant elasticity of substitution (CES) production function, with market prices following a linear demand curve. Since the solution for a general case with an arbitrary degree of homogeneity cannot be determined explicitly, analytical expressions for the tax revenue function, profit function, optimal tax rates, and optimal input levels are derived for scenarios with degrees of homogeneity set to values 0.5 for decreasing and 1 for constant returns to scale. …”
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Coastal Storm – Surge Combination Risk Identification and Resilience Planning Based on Supply and Demand Assessment of Flood Regulation Ecosystem Services: A Case Study of Fujian D... by Jian TIAN, Tianyu XIU, Suiping ZENG

“…Subsequently, a Z-score standardization method is applied to analyze the supply – demand matching of ecosystem services, classifying supply – demand relationships into four categories: High supply – high demand, low supply – high demand, low supply – low demand, and high supply – low demand. …”
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Do the Energy-Related Uncertainties Stimulate Renewable Energy Demand in Developed Economies? Fresh Evidence from the Role of Environmental Policy Stringency and Global Economic Po... by Chafic Saliba

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Comprehensive Review on the Control of Heat Pumps for Energy Flexibility in Distribution Networks by Gustavo L. Aschidamini, Mina Pavlovic, Bradley A. Reinholz, Malcolm S. Metcalfe, Taco Niet, Mariana Resener

“…Decarbonization plans promote the transition to heat pumps (HPs), creating new opportunities for their energy flexibility in demand response programs, solar photovoltaic integration, and optimization of distribution networks. …”
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A cross-case study comparison of Australian metropolitan and regional cancer nurses’ experiences of work-related stressors and supports by Lauren Parkinson-Zarb, Cameron Duff, Ying Wang, Jane Mills

“…Job demands identified in both cases appeared to have similar causes but were more explicitly linked to poor resourcing in the regional case. …”
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A Review and Future Prospects of Bounded Rational Behavior in Power Consumers by GAN Lei, ZHANG Peng, ZHU Lin, YANG Tianyu, CHEN Xingying, HUA Haochen, YU Kun

“…It aims to bridge the theoretical gap in conventional demand-side management caused by oversimplified behavioral assumptions， establish a theoretical foundation for supply-demand interaction optimization， and provide actionable insights for unlocking the potential of demand-side resources.…”
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Optimizing energy and load management in island microgrids for enhancing resilience against resource interruptions by Majid Hosseina, Mahmoud Samiei Moghaddam, Amir Hassannia

“…Abstract The increasing integration of distributed renewable energy sources (RES), energy storage systems (ESS), electric vehicle (EV) charging stations, and demand response (DR) mechanisms has significantly enhanced microgrid deployment. …”
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Distributed dynamic event-triggered time-varying resource management for microgrids via practical predefined-time multiagent methods by Tingting Zhou, Salah Laghrouche, Youcef Ait-Amirat

“…A novel TV resource management model is introduced, explicitly accounting for dynamic constraints and demand variations to ensure real-time resource allocation while effectively handling load fluctuations and renewable energy variability. …”
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The Existence and Uniqueness Conditions for Solving Neutrosophic Differential Equations and Its Consequence on Optimal Order Quantity Strategy by Alaa Fouad Momena, Rakibul Haque, Mostafijur Rahaman, Soheil Salahshour, Sankar Prasad Mondal

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A supply chain analytics approach for optimizing milk collection routing in multi-depot networks by Mattia Neroni, Marta Rinaldi

“…This problem has not yet been formulated explicitly in the literature, and it can be classified in the middle between the Team Orienteering Problem (TOP) and the Multi-Depot Vehicle Routing Problem (MDVRP) with heterogeneous vehicles. …”
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