Two-sided Energy Storage Cooperative Scheduling Method for Transmission and Distribution Network Based on Multi-agent Attention-deep Reinforcement Learning by CHEN Shi, ZHU Yujie, LIU Yihong, XU Liuchao, TANG Guodeng

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Application and progress of swept source optical coherence tomography in choroid-related diseases by LI Jiyun, ZENG Renpan

“…In recent years, the development of swept source optical coherence tomography (SS-OCT) and swept source optical coherence tomography angiogrphy (SS-OCTA) has further advanced our ability to assess choroidal conditions. …”
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Optimization of Energy Use for Zero-Carbon Buildings Considering Intraday Source-Load Uncertainties by Guiqing Feng, Kun Yu, Yuntian Zheng, Le Bu, Jinfan Chen, Wenli Xu, Xingying Chen

“…Building operational energy consumption accounts for a significant share of global energy consumption, and it is crucial to promote renewable energy self-sufficiency and operational optimization for zero-carbon buildings. However, scheduling strategies relying on day-ahead forecasts have limitations, and ignoring the ambiguity of short-term source-load forecasts is prone to the risk of scheduling failures. …”
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Specx: a C++ task-based runtime system for heterogeneous distributed architectures by Paul Cardosi, Bérenger Bramas

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Short‐term electric power and energy balance optimization scheduling based on low‐carbon bilateral demand response mechanism from multiple perspectives by Juan Li, Yonggang Li, Huazhi Liu

“…The LCBDR mechanism framework is constructed by combining the analysis of short‐term electric power and energy balance of the system under a dual perspective, along with the electric‐carbon coupling mechanism of the dynamic scheduling on the source‐load side. Based on the carbon emission flow (CEF) theory, the carbon emission index information of load‐side users is obtained. …”
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A DRL-based optimization method for microgrid operation by ZENG Lei, DING Quan, CHEN Xiaoyu, YUE Xianya

“…To address the challenges of source-load uncertainty and insufficient scheduling flexibility in microgrids， an optimization method for microgrid operation based on deep reinforcement learning （DRL） is proposed. …”
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Application of a novel metaheuristic algorithm inspired by Adam gradient descent in distributed permutation flow shop scheduling problem and continuous engineering problems by Yiqiang Xia, Yanzhe Ji

“…Notably, AGDO demonstrated extreme strengths in Distributed Permutation Flow Shop Scheduling Problem (DPFSP). Source codes of AGDO are publicly available at https://www.mathworks.com/matlabcentral/fileexchange/180348-agdo .…”
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Prediction of Spatiotemporal Distribution of Electric Vehicle Charging Load Based on Multi-Source Information by WANG Qiang, BI Yuhao, GAO Chao, SONG Duoyang

“…The results provide theoretical support for grid load scheduling， charging station planning， and the development of an orderly charging strategy.…”
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Medium- and Long-Term Optimal Stochastic Scheduling for Inter-Basin Hydro-Wind-Photovoltaic Complementary Systems Considering Wind and Solar Output Uncertainty by Chengrui Du, Yuan Gao, Lili Wang, Xiang Li, Yichen Cui, Jian Gao

“…The results demonstrate that the proposed scheduling strategy effectively addresses the unpredictability of wind and solar power, improves the overall utilization of renewable energy sources, and facilitates more efficient water level regulation at each power station. …”
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Nutrition of Florida Citrus Trees, 3rd Edition: Chapter 6. Fertilizer Sources and Formulations by Thomas A. Obreza, Brian J. Boman, Davie Kadyampakeni, Mongi Zekri, Kelly T. Morgan, Tripti Vashisth

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Nutrition of Florida Citrus Trees, 3rd Edition: Chapter 6. Fertilizer Sources and Formulations by Thomas A. Obreza, Brian J. Boman, Davie Kadyampakeni, Mongi Zekri, Kelly T. Morgan, Tripti Vashisth

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Multi-period superstructure optimization for CCS source-sink matching in South Sumatra industrial clusters by Osaliana Budiarto, Widodo Wahyu Purwanto, Alin Halimatussadiah, Dara Ayuda Maharsi

“…Multi-well systems further improve storage capacity and injection efficiency, particularly when injection schedules are carefully optimized. By strategically managing injection capacity and scheduling reservoir availability, the system achieves additional cost reductions, with transportation costs ranging from $15.89 to $16.56 per ton. …”
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Day-Ahead Optimization of Proton Exchange Membrane Electrolyzer Operations Considering System Efficiency and Green Hydrogen Production Constraints Imposed by the European Regulator... by Giuseppe Graber, Vito Calderaro, Vincenzo Galdi, Lucio Ippolito, Fabrizio De Caro, Alfredo Vaccaro

“…., produced using either renewable or low-carbon energy sources) can help decarbonize energy-intensive industries, the transport sector, and the power sector. …”
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Robustness of predictive energy harvesting systems: Analysis and adaptive prediction scaling by Naomi Stricker, Reto Da Forno, Lothar Thiele

“…Predictive models of harvesting sources, which are inherently non‐deterministic and consequently challenging to predict, are often necessary for the scheduler to optimise performance. …”
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Belarus Power Engineering System Modeling Taking into Account the Nuclear Power Plant Commissioning by A. A. Mikhalevic, U. A. Rak

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A multi-time-scale joint operation method for renewable energy station, battery energy storage and flexible load under dynamic assessment of power schedule by Minghao Cao, Linlin Yu, Dong Ding, Peng Jia, Wenhao Wang, Yiran Cheng

“…This approach encourages RES to autonomously use their own battery energy storage systems (BESS) and local flexible loads (LFL) to correct power schedule deviations, thereby reducing the demand for grid flexibility regulation resources from the source. …”
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Integrated Bidding and Battery Scheduling in a Microgrid for Sealed-Bid Double Auction Power Trading With Peer Microgrids Under Uncertainty and Its Blockchain-Based Implementation by Zubin J. B., Sunitha R., Gopakumar Pathirikkat

“…In parallel, battery operations are optimized using a hybrid method that combines Genetic Algorithm (GA) and Simulated Annealing (SA), explicitly incorporating the bid buffer capacity to align scheduling with market commitments. We also propose a fully decentralized and tamper-resistant execution architecture based on a consortium blockchain, where multiple aggregator agents within each microgrid, representing renewable sources, loads, storage systems, and the bid agent, function as independent blockchain nodes. …”
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Exploring the impact of the COVID-19 pandemic on perceptions of national scheduled childhood vaccines among Māori and Pacific caregivers, whānau, and healthcare professionals in Ao... by Nadia A. Charania, Daysha Tonumaipe’a, Te Wai Barbarich-Unasa, Leon Iusitini, Georgina Davis, Gail Pacheco, Denise Wilson

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Robust Optimization of Active Distribution Networks Considering Source-Side Uncertainty and Load-Side Demand Response by Renbo Wu, Shuqin Liu

“…Aiming to solve optimization scheduling difficulties caused by the double uncertainty of source-side photovoltaic (PV) output and load-side demand response in active distribution networks, this paper proposes a two-stage distribution robust optimization method. …”
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Research on economic dispatching strategy for active distribution network considering high penetration of renewable energy source by ZHANG Yu, YUAN Bo, HUANG Shicheng, SHI Jinyue, AN Yichen

“…With the increasing penetration of renewable energy sources in the active power distribution network, their inherent randomness and intermittency pose significant challenges to existing scheduling strategies. …”
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