Ensemble modeling of the climate-energy nexus for renewable energy generation across multiple US states by Joy Adul, Rohini Kumar, Renee Obringer

“…We analyze data from four key states: California, New York, Florida, and Georgia, and focus on three critical renewable energy sources: hydroelectric, solar, and wind power. To determine the optimal model, we test six primary machine learning techniques, as well as an ensemble and a mean-only baseline. …”
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Optimization of Fused Deposition Modeling Parameters for Mechanical Properties of Polylactic Acid Parts Based on Kriging and Cuckoo Search by Yuan Yang, Yiyang Wang, Bowen Xue, Changxu Wang, Bo Yang

“…As an emerging rapid manufacturing technology, 3D printing has been widely applied in numerous fields such as aerospace, shipbuilding, and wind power, by virtue of its advantage in efficiently fabricating components with complex structures and integrated functions. …”
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Virtual Synchronous Machine Control for Doubly Fed Induction Machine-Based Wind Energy Conversion Systems by ANDRE THOMMESSEN, Christoph Michael Hackl

“…The VSM provides higher power system damping than a real SM due to adaptable internal damping. If wind power reserves are available, the fast VSM droop control provides additional damping by adapting the virtual turbine power without the dominant delays of real turbine dynamics.…”
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Wind energy assessment and hybrid micro-grid optimization for selected regions of Saudi Arabia by Abdullahi Abubakar Mas’ud, Ibrahim Seidu, Sani Salisu, Umar Musa, Hassan Z. AlGarni, Mohit Bajaj, Ievgen Zaitsev

“…Wind resource analysis utilizing the Weibull distribution function shows that all regions exhibited Class 1 wind energy characteristics, with average annual wind power densities ranging from 36.74 W/m² to 149.56 W/m², thereby rendering them suitable for small-scale hybrid applications. …”
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Renewable Energy Consumption Strategies for Electric Vehicle Aggregators Based on a Two-Layer Game by Xiu Ji, Mingge Li, Zheyu Yue, Haifeng Zhang, Yizhu Wang

“…Based on the case study of wind power, photovoltaic, and wind–solar complementary data in Jilin Province, the results show that the strategy significantly improves the rate of renewable energy consumption (up to 97.88%) and reduces the cost of power purchase by EVA (an average saving of RMB 0.04/kWh), realizing a win–win situation for all parties. …”
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A Multi-Time Scale Scheduling Model for Power Generation Systems with a High Proportion of New Energy Including Pumped Storage Power Stations by GU Huijie, ZHOU Huafeng, PENG Chaoyi, HU Yaping, ZHAO Xinyi, XIE Jun, SHI Xionghua

“…Through the coordination of multiple time scales, the power generation plan is revised step by step, which ensures that the pumped storage power, the wind power, the PV power, and the thermal power output track the load well. …”
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Machine learning boosts wind turbine efficiency with smart failure detection and strategic placement by Sekar Kidambi Raju, Muthusamy Periyasamy, Amel Ali Alhussan, Subhash Kannan, Srikanth Raghavendran, El-Sayed M. El-kenawy

“…The study further calls for collective research practice amongst researchers, practitioners and policymakers to address emerging issues in wind power maintenance to avoid duplication and continuously keep improving on the strategies employed towards the maintenance of wind energy. …”
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Hybrid Wind Speed Forecasting Model Study Based on SSA and Intelligent Optimized Algorithm by Wenyu Zhang, Zhongyue Su, Hongli Zhang, Yanru Zhao, Zhiyuan Zhao

“…Accurate wind speed forecasting is important for the reliable and efficient operation of the wind power system. The present study investigated singular spectrum analysis (SSA) with a reduced parameter algorithm in three time series models, the autoregressive integrated moving average (ARIMA) model, the support vector machine (SVM) model, and the artificial neural network (ANN) model, to forecast the wind speed in Shandong province, China. …”
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Energy Management Systems Using Smart Grids: An Exhaustive Parametric Comprehensive Analysis of Existing Trends, Significance, Opportunities, and Challenges by Nitasha Khan, Zeeshan Shahid, Muhammad Mansoor Alam, Aznida Abu Bakar Sajak, M. S. Mazliham, Talha Ahmed Khan, Syed Safdar Ali Rizvi

“…The integration of widely fluctuating distributed generation (such as photovoltaic panels, wind power, electric vehicles, and energy storage systems) puts the stability of power technologies and distribution structures in jeopardy. …”
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Comparative analysis of deep neural network architectures for renewable energy forecasting: enhancing accuracy with meteorological and time-based features by Sunawar Khan, Tehseen Mazhar, Muhammad Amir Khan, Tariq Shahzad, Wasim Ahmad, Afsha Bibi, Mamoon M. Saeed, Habib Hamam

“…Abstract This study evaluates and differentiates five advanced machine learning models—LSTM, GRU, CNN-LSTM, Random Forest, and SVR—aimed at precisely estimating solar and wind power generation to enhance renewable energy forecasting. …”
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Leveraging generative adversarial networks for data augmentation to improve fault detection in wind turbines with imbalanced data by Subhajit Chatterjee, Yung-Cheol Byun

“…In the realm of modern power systems, wind turbines (WTs) have gained significant environmental advantages, making them pivotal in the expanding landscape of wind power generation. The paramount task of ensuring the effective monitoring and fault classification of WTs is indispensable for the stability of wind farm systems. …”
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A harmonic model validation methodology for power generation units based on voltage-current phasor characteristic by Kia Malekian Boroujeni, Farhad Safargholi, Kaveh Malekian

“…The practicability of the methodology is shown by employing some test-bench (photovoltaic power generation unit) and on-site (wind power generation unit) measurement campaigns for validating some linear and nonlinear harmonic models. …”
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Analytical Analysis of the Mechanism and Mitigation Methods of Transient Overvoltage in Direct-Drive Wind Turbine Generators Connected to Weak Power System by Xu Tian, Shengtao Wu, Luran Wei, Lixin Zhang, Nan Wang, Quan Zheng

“…In regions with extensive wind power collection, the grid’s robustness diminishes, and transient overvoltage phenomena during the restoration phase following an AC short-circuit fault pose significant challenges to secure and stable operation. …”
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CPTU-Based Offshore Wind Monopile Rigid Bearing Mechanism Analysis by Jie Zhou, Renjie Gu, Panpan Shen, Chengjun Liu, Zeyao Li, Kefan Zhu, Zhenming Shi

“…A creative numerical offshore wind power monopile and CPTU combined model is established through COMSOL. …”
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Long-duration energy storage in transmission-constrained variable renewable energy systems by Andrew K. Chu, Ejeong Baik, Sally M. Benson

“…Science for society: If emissions-free power from controllable sources such as nuclear energy or fossil fuels with carbon capture and storage is not accessible, long-duration energy storage (LDES) is essential for decarbonizing the electricity grid, as it helps balance supply and demand of electricity over extended periods when solar and wind power are unavailable. Our modeling shows that when LDES is affordable, it can reliably provide steady power, filling a role that is difficult for solar, wind, and other storage technologies to replace. …”
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Offshore Network Development to Foster the Energy Transition by Enrico Maria Carlini, Corrado Gadaleta, Michela Migliori, Francesca Longobardi, Gianfranco Luongo, Stefano Lauria, Marco Maccioni, Jacopo Dell’Olmo

“…Starting from a realistic estimate of the offshore wind power plants (OWPPs) to be realized off the southern coasts in a very long-term scenario, this paper presents a novel optimization procedure for meshed AC offshore network configuration, aiming at minimizing the offshore wind generation curtailment based on the DC optimal power flow approximation, assessing the security condition of the whole onshore and offshore networks. …”
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Study on the Siting of Offshore Wind Farms and Prospects for Future Development by Zhichuan LI, Xinghua LI, Jingshui LAO, Zhiyou YU, Wei XU, Jianzhang SUN, Zijian ZHANG, Ya LI

“…With the maturity of shallow sea wind farm technology, the deep-sea offshore wind farm will be gradually developed in the future, which will further promote the development of floating offshore wind power. In addition, the cooperation development of offshore wind farms with oil and gas development, marine aquaculture and other projects will receive more research and attention.…”
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Quasi‐Static Closed‐Loop Wind‐Farm Control for Combined Power and Fatigue Optimization by Ishaan Sood, Christophe del Fosse et d'Espierres, Johan Meyers

“…Subsequently, optimal control set points for the TotalControl reference wind power plant are obtained using the analytical model and tested in a wind‐farm emulator that is based on large eddy simulations. …”
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Low‐carbon economic schedule of the H2DRI‐EAF steel plant integrated with a power‐to‐hydrogen system driven by blue hydrogen and green hydrogen by Bokang Zou, Yuanshi Zhang, Qirui Chen, Qinran Hu, Xiaoyan Hu, Jing Shi, Zesen Li, Qi Wang

“…An illustrating method is utilised for modelling the entire steel production process and power to hydrogen (PtH2) process in detail for the H2DRI‐EAF steel plant, which includes natural gas, photovoltaic, wind power self‐provided power plants, and carbon capture and storage (CCS) systems. …”
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Adaptive optimal control of prosumer energy storage system with renewable energy sources by D. V. Antonenkov, V. Z. Manusov, P. V. Matrenin, V. R. Kiushkina

“…Improving energy efficiency is not considered from the standpoint of the entire system, but from an individual prosumer and in conditions of difficult-to-predict wind power generation. This work aims to optimize the prosumer’s electrical complex by developing a method for adapting the base of heuristic rules of the prosumer control to its parameters and climatic conditions. …”
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