Energy Management of Industrial Energy Systems via Rolling Horizon and Hybrid Optimization: A Real-Plant Application in Germany by Loukas Kyriakidis, Rushit Kansara, Maria Isabel Roldán Serrano

“…To solve the resulting nonlinear and constrained optimization problem at each RHA iteration, we propose a novel hybrid algorithm that combines Bayesian optimization (BO) with the Interior Point OPTimizer (IPOPT). While global deterministic and stochastic optimization methods are frequently used in practice, they often suffer from high computational costs and slow convergence, particularly when applied to large-scale, nonlinear problems with complex constraints. …”
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Enhancing Security With Hybrid Active- Passive RIS: A DRL Approach Against Eavesdropping and Jamming by Abdul Wahid, Syed Zain Ul Abideen, Nouman Imtiaz, Mian Muhammad Kamal, Abdullah Alharbi, Amr Tolba, M. A. Al-Khasawneh, Inam Ullah

“…To tackle this, we employ a Deep Reinforcement Learning (DRL) approach using the Deep Deterministic Policy Gradient (DDPG) algorithm, enabling efficient and dynamic optimization. …”
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Energy Management in Microgrids Using Model-Free Deep Reinforcement Learning Approach by Odia A. Talab, Isa Avci

“…MGs offer a flexible and efficient framework for accommodating dispersed energy resources. …”
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Geometric thermodynamics of reaction-diffusion systems: Thermodynamic trade-off relations and optimal transport for pattern formation by Ryuna Nagayama, Kohei Yoshimura, Artemy Kolchinsky, Sosuke Ito

“…We also show that a similar geometric method further decomposes the entropy production rate into detailed contributions, e.g., the dissipation from each point in real or wavenumber space. …”
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A robust optimization model for allocation-routing problems under uncertain conditions. by Tingting Zhang, Yanqiu Liu

“…The Trauma Index Score (TIS) method is used to classify casualties into two groups, and the dynamic changes in their injuries after treatment at temporary hospitals are considered. …”
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Probabilistic Forecasting of Provincial Regional Wind Power Considering Spatio-Temporal Features by Gang Li, Chen Lin, Yupeng Li

“…Firstly, the input features are formed through a fused image generation method of geographic and meteorological information as well as a power aggregation strategy, which avoids the extensive and tedious data processing process prior to modeling in the traditional approach. …”
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The L-Curve Criterion as a Model Selection Tool in PLS Regression by Abdelmounaim Kerkri, Jelloul Allal, Zoubir Zarrouk

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A Vision-Based Procedure with Subpixel Resolution for Motion Estimation by Samira Azizi, Kaveh Karami, Stefano Mariani

“…The solution combines a stochastic search method for coarse-level measurements with a deterministic method for fine-level measurements. …”
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THE CONTROLLER OF FUZZY LOGIC IN THE MANAGEMENT OF TECHNOLOGICAL PROCESSES by S. V. Shilkina, E. N. Fokina

“…However, the classical control methods work well only with a completely deterministic control object and deterministic environment, but for fuzzy information systems and highly complex control object, fuzzy control methods are optimal. …”
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Quantum reinforcement learning in continuous action space by Shaojun Wu, Shan Jin, Dingding Wen, Donghong Han, Xiaoting Wang

“…To overcome this limitation, we introduce a quantum Deep Deterministic Policy Gradient (DDPG) algorithm that efficiently addresses both classical and quantum sequential decision problems in continuous action spaces. …”
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Mapping topographic structure in white matter pathways with level set trees. by Brian P Kent, Alessandro Rinaldo, Fang-Cheng Yeh, Timothy Verstynen

“…We show that level set trees can also be generalized to model pseudo-density functions in order to analyze a broader array of data types, including entire fiber streamlines. Finally, resampling methods show the reliability of the level set tree as a descriptive measure of topographic structure, illustrating its potential as a statistical descriptor in brain imaging analysis. …”
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Decentralizing Coordination in Open Vehicle Fleets for Scalable and Dynamic Task Allocation by Marin Lujak, Stefano Giordani, Andrea Omicini, Sascha Ossowski

“…Self-concerned individually rational vehicle drivers have both local and global objectives, which require coordination using some fair and efficient task allocation method. In this paper, we review the literature on scalable and dynamic task allocation focusing on deterministic and dynamic two-dimensional linear assignment problems. …”
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A Methodology for Turbine-Level Possible Power Prediction and Uncertainty Estimations Using Farm-Wide Autoregressive Information on High-Frequency Data by Francisco Javier Jara Ávila, Timothy Verstraeten, Pieter Jan Daems, Ann Nowé, Jan Helsen

“…The results demonstrate that the proposed method improves predictive accuracy over the manufacturer’s power curve, achieving a reduction in error measurements of around 1%. …”
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Interval Uncertainty Analysis for Wheel–Rail Contact Load Identification Based on First-Order Polynomial Chaos Expansion by Shengwen Yin, Haotian Xiao, Lei Cao

“…Traditional methods for identifying wheel–rail contact loads are based on deterministic models, in which the uncertainties such as material inhomogeneity and geometric tolerance are not considered. …”
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SENSITIVITY OF THE TECHNICAL CONDITION OF ELECTRICAL EQUIPMENT OF MOBILE ROBOTIC COMPLEXES FOR SOLVING MONITORING TASKS by A.V. Zayara, M.E. Danilin

“…To solve the problem of sensing the technical condition of the electrical equipment of mobile robotic complexes through the integration of sensory information, a monitoring procedure is proposed as an integral part of a maintenance and repair system based on a proactive concept. Materials and methods. Using the method of associative analogy, a comparison of the time-deterministic process of reducing the performance of the robotics complex with a deterioration in human performance has been carried out, which makes it possible to assess the technical condition according to a generalized parameter characterizing the energy efficiency of the RTK using fuzzy logical inference. …”

Conceptual bases for assessing and modeling sustainable development of a region as an ecological‐socio‐economic system (the example of the Republic of Dagestan) by M. M. Magomedova, U. A.-I. Kurbanova, K. D. Dakhdueva

“…Analysis of the degree of influence and assessment of the prerequisites, factors, conditions of the ecological, socio‐economic development of the region made it possible to substantiate the choice of research methods, most of which are deterministic or probabilistically deterministic in the nature of information. …”
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Parallel construction of binary tree based on sorting by Ya. E. Romm, D. A. Chabanyuk

“…The results obtained are focused on the creation of effective methods for the dynamic database processing. The proposed methods and algorithms can form an algorithmic basis for an advanced deterministic search on the relational databases and information systems.…”
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Optimizing Transport Logistics under Uncertainty with Simheuristics: Concepts, Review and Trends by Juliana Castaneda, Elnaz Ghorbani, Majsa Ammouriova, Javier Panadero, Angel A. Juan

“…Hence, it must be combined with optimization methods when our goal is to: (i) minimize operating costs while guaranteeing a given quality of service; or (ii) maximize system performance using limited resources. …”
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Co-Optimization of Speed Planning and Energy Management for Plug-In Hybrid Electric Trucks Passing Through Traffic Light Intersections by Xin Liu, Guojing Shi, Changbo Yang, Enyong Xu, Yanmei Meng

“…This model effectively converts the nonlinear constraints related to the position, phase, and timing information of each traffic signal on the road into time-varying constraints, thereby improving computational efficiency. In the lower layer, an energy management model is constructed using the twin delayed deep deterministic policy gradient (TD3) algorithm to achieve optimal allocation of demanded power through the interaction of the TD3 agent with the truck environment. …”
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Stochastic Power Control Strategy for Hybrid Electric Propulsion Ships Using Markov Chain-Based Operational Data Augmentation by Su Bin Choi, Soon Ho Hong, Sun Je Kim

“…This strategy resulted in a 3% improvement in efficiency compared to the deterministic method. In addition, it can be implemented in a real-time strategy utilizing stochastic maps.…”
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