Q-Learning based VM Consolidation Approach for Enhancing Cloud Data Centres Power Efficiency by Baikani Sreenithya, Bharde Hitesh Dutt, Chennamaneni Jashwanth, R Karthikeyan, MA Jabbar, Majjari Sudhakar

“…Furtherly, we will execute the model on using the algorithm chosen to build the model. The inputs we take are VM numbers, power utilization, scalability of VMs, CPU utilization time etc. and finds out what percentage of these values we are getting as an output which highlights the effectiveness of our approach, improvement in energy efficiency and service reduction etc.…”
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A Beyond 5G OTFS Waveform Radio for Smart Hospital: PAPR Reduction in OTFS Using the Cuckoo Search–Based PTS Method by Arun Kumar, Aziz Nanthaamornphong

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An Optimal Approach for Assessing Weibull Parameters and Wind Power Potential for Six Coastal Cities in Pakistan by Ghulam Abbas, Arshad Ali, Faizan Rashid, Naveed Ashraf, Zohaib Mushtaq, Muhammad Zubair

“…Four statistical indicators, namely root mean square error, mean absolute error, coefficient of determination, and coefficient of efficiency, are taken into consideration to measure the accuracy offered by NEPFM-SSA and NEPFM. An enormous reduction in wind power density-based percentage error (for example, 15.3531% than 51.7205% for Gwadar at 10 m height) was observed in NEPFM-SSA compared to NEPFM. …”
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Grey wolf optimization for enhanced performance in wind power system with dual-star induction generators by Katia Benamara, Hocine Amimeur, Yanis Hamoudi, Maher G. M. Abdolrasol, Umit Cali, Umit Cali, Taha Selim Ustun

“…A comparative analysis of the optimization results has been conducted, focusing on the outcomes obtained with the GWO algorithm. The findings reveal a notable reduction in steady-state error, signifying improved stability, and an overall enhancement in the wind power system’s performance. …”
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Optimizing capacitor bank placement in distribution networks using a multi-objective particle swarm optimization approach for energy efficiency and cost reduction by Mehrdad Ahmadi Kamarposhti, Raymond Ghandour, Mahmoud Abdel-Aty, Mohamed Hafez, Mohanad Alfiras, Shawkat Alkhazaleh, Ilhami Colak, Ahmed Solyman

“…The novelty of this work lies in the application of the MOPSO algorithm to optimize capacitor bank placement, considering multiple objectives such as energy loss reduction, voltage stability, and cost savings, which differentiates it from conventional approaches. …”
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Stable matching-enhanced MOEA/D for solving multi-objective optimal power flow problems by Ebrahim Akbari, Amin Khodabakhshian, Abolfazl Rahimnejad, Stephen Andrew Gadsden

“…The results highlight the effectiveness of the method in addressing OPF problems with conflicting objectives such as cost minimization, loss reduction, and voltage stability enhancement. This research provides a new perspective on applying stable matching mechanisms into evolutionary algorithms for power system optimization.…”
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Distributed Photovoltaic Short-Term Power Prediction Based on Personalized Federated Multi-Task Learning by Wenxiang Luo, Yang Shen, Zewen Li, Fangming Deng

“…A multi-task module is added to PFL to solve the problem that an FL single global model cannot improve the prediction accuracy of all photovoltaic power stations. A cbam-itcn prediction algorithm was designed. …”
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A novel MAC protocol for power line communication with integrated NFC for smart home applications by G. Haridoss, J. Arun Pandian, K. Sivaranjani, L. Thanga Mariappan

“…It operates over existing power line cables, avoiding other transmission mediums by using low-cost PLC chipsets. …”
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An Average Power-Based Planning Framework of Transmission Expansion: A New Role for Energy Storage by Qian Zhang, P. R. Kumar, Le Xie

“…This paper introduces a framework and computational algorithm that utilizes energy storage systems in pairs to improve transmission capacity in electric power systems. …”
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Thermodynamic analysis and energy balance for environmental sustainability of simple gas turbine inlet cooling system in AFAM power plant by Aniekan Ikpe, Imoh Ekanem, Enefiok Usungurua

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Photovoltaic Farm Power Generation Forecast Using Photovoltaic Battery Model with Machine Learning Capabilities by Agboola Benjamin Alao, Olatunji Matthew Adeyanju, Manohar Chamana, Stephen Bayne, Argenis Bilbao

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A novel multi-task learning model based on Transformer-LSTM for wind power forecasting by Rongquan Zhang, Siqi Bu, Yuxia Zheng, Gangqiang Li, Xiupeng Wan, Qiangqiang Zeng, Min Zhou

“…In addition, a probabilistic forecasting model that integrates the proposed multi-task learning model and quantile regression is formulated to describe the forecast uncertainty of wind power. Finally, to improve the prediction accurateness, a new heuristic algorithm, namely hybrid Cauchy mutation-based Elk herd and sand cat swarm optimization, is proposed to optimize the model hyperparameters. …”
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A Novel Loss Minimization Algorithm for the 3-Port Converter in a Multi-Subgrid Microgrid by Rajarshi Basu, Mahesh Kumar Mishra

“…The algorithm achieves an average reduction of 32 to 46% in losses compared to the worst-case scenario, depending on power flow conditions, demonstrating significant improvements in system efficiency. …”
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Electricity usage prediction using developed human evolutionary optimization algorithm and Xception neural network by Dongxian Yu, Di Wu, Chongyang Liao, Zaihui Cao, Somayeh Pouramini

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Feature Extraction and Diagnosis of Power-Shift System Faults in Unmanned Hydro-Mechanical Transmission Tractors by Ya Li, Kuan Liu, Xiaohan Chen, Kejia Zhai, Yangting Liu, Yehui Zhao, Guangming Wang

“…Both W_SCBAM and conventional algorithms were trained 20 times, and their performance was compared. …”
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Comparison and modeling of hybrid green energy systems tied to unhealthy grid utilizing different algorithms by Emad M. Sayed, Khaled H. Ibrahiem, Mohamed Mahmoud Samy, Ahmed Farhan

“…The proposed HRES is identified as capable of mitigating power interruptions and boosting the proportion of environmentally friendly energy generation, resulting in a noteworthy reduction in emissions of greenhouse gases (GHGs). …”
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Pulsating power mitigation in poly-source DC microgrids with single-phase inverters: A theoretical analysis by Gleisson Balen, Cristian Blanco, Ángel Navarro-Rodríguez, Pablo García

“…The proposed method is based on the correct definition of the AC reference phase of each single-phase converter by implementing a gradient descent optimization algorithm. The paper shows a verification with real AC load profiles, performing the DC bus power low-frequency oscillation mitigation, reaching a 95% power oscillation reduction.…”
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Harmonics Elimination of Reduced Switch Multilevel Inverter Using Henry Gas Solubility Optimization Algorithm by Murni Nabila Mohd Zawawi, Zainuddin Mat Isa, Baharuddin Ismail, Mohd Hafiz Arshad, Ernie Che Mid, Md Hairul Nizam Talib, Muhammad Fitra Zambak

“…The findings highlight the potential of HGSO in solving complex optimization challenges within power electronics, offering a novel pathway for advancing modulation strategies in CHB MLIs and contributing to the development of more efficient, reliable, and compact power conversion systems.…”
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An Efficient Workload-balancing Algorithm for a Parallel Environment Using Hybrid Spatio-temporal Indexes by Claudio Gutiérrez-Soto, Marco A. Palomino, Patricio Galdames

“…This algorithm is able to update the indexes with the most appropriate data, aiming to achieve more efficient query processing. …”
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An Optimization Method for Iteration Path Search of Large-Scale Power Grid Unit Commitment State by CUI Yiyang, PAN Dounan, LI Canbing, LIU Jianzhe

“…To address the computational challenge posed by the “curse of dimensionality” inherent in traditional branch and bound algorithms for large-scale power grid unit commitment problems, an optimization method for iteration path search of unit commitment state is proposed. …”
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