Reduction of the Reconstruction Error With Lower and Upper Bounds in Synthetic Aperture Imaging Radiometers by Xiaocheng Yang, Zhenyi Yang, Jingye Yan, Lin Wu, Mingfeng Jiang, Wentao Lyu

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Multistage power generation planning approach for new power systems with high renewable energy integration considering flexibility constraints by Danyang Li, Hongpeng Liu, Jingwei Zhang, Xu Han, Shuxin Zhang

“…A flexibility-constrained multi-stage generation planning model is formulated, which resolves nonlinearity through auxiliary variable linearization and Benders decomposition algorithm. Case studies demonstrate that the proposed model achieves a 47.3% reduction in total 10-year planning costs for a typical regional system, comprising 39.5% operational cost savings and 46.3% carbon emission cost reduction, while elevating renewable energy accommodation rate to 80%. …”
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Divisive hierarchical clustering for energy saving and latency reduction in UAV-assisted WSANs by Xuan Zhang, Yong-Long Wang, Heejung Byun

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A Clustering-Based Dimensionality Reduction Method Guided by POD Structures and Its Application to Convective Flow Problems by Qingyang Yuan, Bo Zhang

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Bi-Level Energy Dispatch Optimisation for Peak Load Shaving in Microgrids with Battery Storage by Mohd Fakhizan Romlie, Abid Ali, GM Shafiullah

“…During the second level, scheduling of energy supply to and from the batteries is performed using a seven stage battery dispatch controller. Considering the reduction in power losses as a primary objective function, the genetic algorithm (GA) is used to solve the optimisation problem for three time-varying load profiles (industrial, residential, and commercial) using an IEEE 33 bus microgrids network. …”
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Development of the design of mobile solar power plant by P. I. Savelov, Yu. E. Livshic

“…The authors have developed the algorithm for the operation of a mobile solar power plant and the design of the control unit for the solar cell positioning system. …”
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Operational Decision Model for Demand Response Considering Carbon Reduction Value of Adjustable Loads by Xiaoxuan ZHANG, Song XUE, Ye XU, Yi XU, Zeyu DING, Qingkai SUN

“…Demand response is one of the important adjustable load resources, which plays an important role in promoting carbon reduction and new energy consumption in new power systems. …”
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A Three-Dimensional OFDM System with PAPR Reduction Method for Wireless Sensor Networks by Zhenxing Chen, Seog Geun Kang

“…A three-dimensional (3D) orthogonal frequency division multiplexing (OFDM) system with peak-to-average power ratio (PAPR) reduction method for the wireless sensor networks (WSNs) is presented. …”
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Optimization Design of Indoor Substation Ventilation and Noise Reduction Based on Deep Reinforcement Learning by Jinhui TANG, Fayuan WU, Yanli ZHI, Mengting MAO, Xiaomin DAI

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PAPR Reduction Approach Based on Channel Estimation Pilots for Next Generations Broadcasting Systems by Anh-Tai Ho, Jean-François Helard, Youssef Nasser, Yves Louet

“…A novel peak-to-average power ratio (PAPR) reduction technique for orthogonal frequency division multiplexing (OFDM) systems is addressed. …”
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A Bi-Objective Optimal Scheduling Method for the Charging and Discharging of EVs Considering the Uncertainty of Wind and Photovoltaic Output in the Context of Time-of-Use Electrici... by Xinfu Pang, Wen Jia, Haibo Li, Qingzhong Gao, Wei Liu

“…Then, the Monte Carlo method was employed to simulate electric vehicle loads and to facilitate the generation of and reduction in scenario scenes. Finally, the model was solved using an improved multi-objective barebones particle swarm optimization algorithm. …”
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Multifactor Algorithm for Test Case Selection and Ordering by Atulya Gupta, Rajendra Prasad Mahapatra

“…The current research is motivated by this concept and proposes a multifactor algorithm incorporated with genetic operators and powerful features. …”
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Two-stage multi-timescale optimal scheduling for electricity-hydrogen coupling systems based on scenario approach and deep reinforcement learning by CHEN Zhe, WEI Meijia, LIN Da, LI Zhihao, CHEN Jian

“…The long-term timescale model aims to maximize the systems’ energy self-balance by generating typical wind and solar output scenarios using Latin hypercube sampling （LHS） for scenario generation and reduction， followed by optimization. The short-term model focuses on minimizing the systems’ operational costs and is solved using the deep deterministic policy gradient （DDPG） algorithm. …”
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Coordinated Design of Power System Stabilizer and Virtual Inertia Control Using Modified Harris Hawk Optimization for Improving Power System Stability by Mohamad Almas Prakasa, Imam Robandi, Alberto Borghetti, Muhammad Ruswandi Djalal, Waseda Himawari

“…Based on the obtained results, HHO-MSS is 1.44% to 9.28% more accurate and 34.63% to 53.94% more consistent than Electric Eel Foraging Optimization (EEFO), and Puma Optimizer (PO), Evolutionary Mating Algorithm (EMA). With the optimal damping ratios of 9.94% to 9.96% achieved by HHO-MSS, the overall power system stability improvements, including both local and interarea responses across 38 simulations involving sudden load changes, varying inertia, and different RES levels, are as follows: 41.17% to 70.89% frequency nadir improvement, 25.9% to 67.38% power angle deviation improvement, 84.83% to 85.26% settling time reduction, and 51.57% to 89.73% average error reduction calculated with performance indices. …”
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Uncertainty management in multiobjective electric vehicle integrated optimal power flow based hydrothermal scheduling of renewable power system for environmental sustainability by Susanta Dutta, Siddhartha Ghosh, Tushnik Sarkar, Provas Kumar Roy, Chandan Paul, Ruba Abu Khurma, Mohd Asif Shah, Saurav Mallik

“…Secondly, renewable energy sources such as wind-solar-EV are integrated with the aforesaid systems for lowering fuel cost, emission, active power loss (APL), aggregated voltage deviation (AVD), voltage stability index (VSI) and also cost, emision, APL, AVD, VSI are reduced simultaneously considering different cases for multi-objective functions.Proposed sine-cosine algorithm (SCA) embedded with quasi-oppositional based learning (QOBL), known as QOSCA is used to balance the exploration and exploitation ability in order to overcome shortcomings and provide global optimal solutions. …”
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Improved Lyrebird optimization for multi microgrid sectionalizing and cost efficient scheduling of distributed generation by Karthik Nagarajan, Arul Rajagopalan, Mohit Bajaj, Valliappan Raju, Vojtech Blazek, Lukas Prokop

“…The analysis of real power loss reduction demonstrates that, in the IEEE-33 bus system without considering EIR, the proposed ILOA algorithm effectively minimizes power loss by approximately 0.692%, 1.696%, and 1.962% in comparison to LOA, JAYA, and GA, respectively, under the operational conditions of MG-1, MG-2, and MG-3. …”
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Advanced Design of Naval Ship Propulsion Systems Utilizing Battery-Diesel Generator Hybrid Electric Propulsion Systems by Youngnam Park, Heemoon Kim

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Photovoltaic Power Forecasting with Weather Conditioned Attention Mechanism by Xuetao Jiang, Yuchun Gou, Meiyu Jiang, Lihui Luo, Qingguo Zhou

“…Notably, the attention modules adeptly learn patterns under diverse conditions, while simultaneously, the sharing of weights among the remaining components of the model effectively enhances prediction accuracy and facilitates a reduction in training time. We compare the state-of-the-art decomposition algorithms (VMD, EEMD, MSTL, etc.) and prediction models (BPN, LSTM, XGBoost, transformer, etc.) commonly used in PV prediction. …”
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Energy optimization model of multi-energy system considering distributed photovoltaic coordinated carbon reduction by Shi Qiu, Shuo Liu, Guoqiang Lu, Kun Zhang, Yun Teng, Zhe Chen

“…Abstract Aiming at the problems of complex characteristics such as nonlinearity, multivariable, and strong coupling in the energy optimization process of thermal power plant station under the carbon reduction constraints due to the multiple types of equipment and large amount of operation data in the multi-energy system (MES), an energy optimization method of multi-energy system considering distributed photovoltaic coordinated carbon reduction is proposed in this paper. …”
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Oil-cooled transformer hot spot temperature reduction using windings height optimum design by Mohammad Ali Taghikhani

“…Transformers are used in transmission and distribution of electrical energy in the power network. Thus, electrical and physical optimization of transformers are important. …”
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