IEEJ Transactions on Electrical and Electronic Engineering最新文献_第7页

Application of Mike 21/3 Coupled Model FM for Selecting a Suitable Coastal Protection Structure for Hiep Thanh Commune, Tra Vinh Province (Vietnam)† mike21 /3耦合模型FM在越南特荣省Hiep Thanh公社海防结构选择中的应用

IF 1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2026-07-02 Epub Date: 2025-12-27 DOI: 10.1002/tee.70231

Nguyen Thi Kim Thao, Le Van Tuan, Vo Luong Hong Phuoc

{"title":"Application of Mike 21/3 Coupled Model FM for Selecting a Suitable Coastal Protection Structure for Hiep Thanh Commune, Tra Vinh Province (Vietnam)†","authors":"Nguyen Thi Kim Thao, Le Van Tuan, Vo Luong Hong Phuoc","doi":"10.1002/tee.70231","DOIUrl":"https://doi.org/10.1002/tee.70231","url":null,"abstract":"Coastal erosion in Tra Vinh province and the Mekong Delta region is becoming increasingly severe due to various factors, among which hydrodynamic conditions (tides, waves, river, and sea currents) play a crucial role. This study utilizes the MIKE 21/3 Coupled Model FM to assess the effectiveness of two coastal protection scheme options for the coastal area of Hiep Thanh commune, Tra Vinh: reinforced concrete revetment (Option 1) and hybrid revetment (trees branch fences, geotube bags, and perforated breakwater – Option 2). The results indicate that Option 1 provides better protection for the existing shoreline. However, Option 2 demonstrates superior performance in wave attenuation and beach nourishment, with the ability to reduce wave height approaching the shore by up to 70%. Option 2 also contributes to erosion reduction and shoreline lowering during the Northeast monsoon season (high water levels and strong waves). This study provides a scientific basis for selecting a suitable coastal protection scheme for the Hiep Thanh commune and can serve as a reference for areas with similar natural conditions. © 2025 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"21 8","pages":"1267-1274"},"PeriodicalIF":1.0,"publicationDate":"2026-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148373635","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Prediction of Dissolved Gas Concentration in Transformer Oil Based on Quadratic Mode Decomposition and SSA-BiLSTM-Attention 基于二次模态分解和ssa - bilstm的变压器油中溶解气体浓度预测

IF 1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2026-07-02 Epub Date: 2025-12-29 DOI: 10.1002/tee.70241

Can Ding, Yiting Tian, Donghai Yu

{"title":"Prediction of Dissolved Gas Concentration in Transformer Oil Based on Quadratic Mode Decomposition and SSA-BiLSTM-Attention","authors":"Can Ding, Yiting Tian, Donghai Yu","doi":"10.1002/tee.70241","DOIUrl":"https://doi.org/10.1002/tee.70241","url":null,"abstract":"This paper proposes a novel hybrid model (QMD-SSA-BiLSTM-Attention) for predicting dissolved gas concentrations in transformer oil to enhance fault diagnosis and condition monitoring. The methodology integrates quadratic mode decomposition (QMD), combining optimal variational mode decomposition (OVMD) and complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) for robust signal processing. The primary decomposition employs VMD based on center frequency intervals, while CEEMDAN further decomposes residual sequences. A bidirectional LSTM network with attention mechanism serves as the core predictor, with sparrow search algorithm (SSA) optimizing hyperparameters. Final predictions are reconstructed through subsequence superposition. Comparative error analysis demonstrates the model's superior accuracy over existing methods. The approach provides critical technical support for transformer condition assessment and early fault warning by improving the forecasting of gas concentration. Key innovations include the dual-stage QMD framework and the integration of SSA-optimized attention-BiLSTM, addressing nonlinearity and non-stationarity in gas dissolution patterns. This research advances predictive maintenance strategies for power transformers through data-driven decomposition-ensemble techniques. © 2025 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"21 8","pages":"1168-1178"},"PeriodicalIF":1.0,"publicationDate":"2026-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148373596","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Presenting an Innovative Methodology for Predicting Stock Market Trends: A Case Study on KOSPI Price Estimation 提出一种预测股票市场趋势的创新方法：以韩国综合股价指数价格估算为例

IF 1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2026-07-02 Epub Date: 2026-05-12 DOI: 10.1002/tee.70280

Yanping Wang

{"title":"Presenting an Innovative Methodology for Predicting Stock Market Trends: A Case Study on KOSPI Price Estimation","authors":"Yanping Wang","doi":"10.1002/tee.70280","DOIUrl":"https://doi.org/10.1002/tee.70280","url":null,"abstract":"The stock market is a platform where individuals buy and sell shares of publicly listed corporations, serving as a key indicator of a nation's economic health and business climate. Stock price fluctuations are driven by the balance between supply and demand. While investing in the stock market is unpredictable, its long-term returns are significant. The main aim of investment in financial markets is to maximize returns, but different factors make the outcome volatile. These factors make predictions about future market outcomes difficult. The purpose of this paper is a hybrid model development for the stock price and market trend precise prediction by using Support Vector Regression (SVR), the Mayfly Algorithm (MA), and the Empirical Mode Decomposition (EMD) accordingly. This research utilized historical data from the KOSPI, gathered from 2 January 2015 to 30 June 2023. In this study, simplifying the dataset is done through EMD, and two optimization techniques—Gravitational Search (GSA) and the MA—enhance the model accuracy. EMD-MA-SVR has an efficient performance with the R-squared value of 0.9891 and directional accuracy of 0.6412 and is hence more precise in stock price prediction compared to the rest of the models. This research compares the hybrid benchmark models with the proposed EMD-MA-SVR model concerning performance in capturing intricate patterns for the precision of stock price predictions. To comprehensively validate the robustness and generalizability of the proposed EMD-MA-SVR model in multiple splits, a 4-fold cross-validation approach has been adopted. Consequently, this model can be considered an efficient tool for investors in terms of accurate stock price prediction and decision-making. © 2026 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"21 8","pages":"1202-1213"},"PeriodicalIF":1.0,"publicationDate":"2026-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148373410","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Surface Muscle Pressure Detection Based on Air Pressure Difference Sensing and Its Application in Posture Recognition 基于气压差感知的体表肌肉压力检测及其在姿态识别中的应用

IF 1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2026-07-02 Epub Date: 2025-12-22 DOI: 10.1002/tee.70227

Zhihao Zhu, Danyan Yu, Nuoyi Fu, Jianghe Cheng, Keliang Liu, Jianhao Liu, Tao Zeng

{"title":"Surface Muscle Pressure Detection Based on Air Pressure Difference Sensing and Its Application in Posture Recognition","authors":"Zhihao Zhu, Danyan Yu, Nuoyi Fu, Jianghe Cheng, Keliang Liu, Jianhao Liu, Tao Zeng","doi":"10.1002/tee.70227","DOIUrl":"https://doi.org/10.1002/tee.70227","url":null,"abstract":"This study proposes a method for real-time monitoring of muscle activity applied in posture recognition by detecting changes in surface muscle pressure (SMP), a specialized form of force myography (FMG) focused on air pressure differential transduction. A monitoring system mainly consists of a pressure cuff, a spherical airbag, and a micro air pressure differential sensor. First, a physical model of the monitoring device was constructed, and a corresponding physical device was made. The device was verified and calibrated by electromyography and using an electronic digital angle ruler. Then, a real-time data acquisition system with multiple micro pressure differential sensors was designed and manufactured. This system was integrated with the monitoring device to form a complete pressure-based FMG posture recognition system for achieving dual-channel high-precision real-time monitoring of muscle activity. The effectiveness and feasibility of the proposed method were verified through human–machine interaction experiment. © 2025 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"21 8","pages":"1238-1245"},"PeriodicalIF":1.0,"publicationDate":"2026-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148373499","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimal Design Method of LCC-S Topology Magnetically Coupled Resonant Wireless Charging Coil LCC-S拓扑磁耦合谐振无线充电线圈的优化设计方法

IF 1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2026-07-02 Epub Date: 2025-12-26 DOI: 10.1002/tee.70229

Zhen Guo, Hai-tao Yu, Zhao-dong Li, Ran-ran Liu, Hai-long Zhang, Ji-qiu Nai, Shuang Chen, Min Zhang

{"title":"Optimal Design Method of LCC-S Topology Magnetically Coupled Resonant Wireless Charging Coil","authors":"Zhen Guo, Hai-tao Yu, Zhao-dong Li, Ran-ran Liu, Hai-long Zhang, Ji-qiu Nai, Shuang Chen, Min Zhang","doi":"10.1002/tee.70229","DOIUrl":"https://doi.org/10.1002/tee.70229","url":null,"abstract":"The Wireless Power Transfer (WPT) coil is essential for enhancing system efficiency in magnetic coupling wireless charging systems. To achieve efficient power transmission, an electromagnetic coupling mechanism consisting of two planar spiral coils is chosen as the optimization object. An equivalent circuit model of the LCC-S compensation topology system is established, and an optimization method for the magnetic coupling parameters is proposed in this paper. With the objective of maximizing the system's transmission efficiency, the maximum outer radius of the coil, the number of turns, and the spacing between adjacent turns are selected as optimization variables. The WPT system is then optimized using an improved Parrot Optimization (IPO) algorithm to find the optimal coil parameters. Finally, the optimized parameters are applied in simulation models using MATLAB/Simulink, and set up an experimental setup to conduct experimental verification. Both simulation and experimental outcomes validate the practicality and efficiency of the suggested optimization approach. © 2025 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"21 8","pages":"1221-1230"},"PeriodicalIF":1.0,"publicationDate":"2026-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148373568","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Economic Dispatch Strategy for Wind-Storage Power Plants Considering Multiple Working Conditions under Spot Electricity Prices 现货电价下考虑多种工况的风电场经济调度策略

IF 1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2026-07-02 Epub Date: 2026-01-15 DOI: 10.1002/tee.70238

Yongcan Zhu, Jia Cao, Xu Chen, Xinru Dang, Jingyu Mu, Naying Wei

{"title":"Economic Dispatch Strategy for Wind-Storage Power Plants Considering Multiple Working Conditions under Spot Electricity Prices","authors":"Yongcan Zhu, Jia Cao, Xu Chen, Xinru Dang, Jingyu Mu, Naying Wei","doi":"10.1002/tee.70238","DOIUrl":"https://doi.org/10.1002/tee.70238","url":null,"abstract":"To enhance the profitability of wind storage power stations under spot electricity pricing, an initial step involves establishing a foundational optimal scheduling model specific to these conditions. Subsequently, this model is refined to incorporate the operational states commonly encountered, such as power restrictions, load protocol power supply, and power assessments at the grid connection point. Each scenario's optimal scheduling model is meticulously developed to address these variables. Utilizing data from a wind power storage station located in northwest China, the commercial solvers are employed to derive the optimal scheduling solutions and evaluate the financial performance under various scenarios. The findings reveal that, compared to the scenario without energy storage as a benchmark, model optimization yields a revenue increase of 9.54% under spot pricing. Moreover, when accounting for the centralized energy storage grid connected end power restriction, distributed energy storage grid connected end power restriction, load protocol power supply, and power assessments, the revenue enhancements are 6.11%, 6.74%, 7.31%, and 10.56%, respectively. This study demonstrates that by mitigating the adverse impacts of these diverse operational conditions, a substantial improvement in the overall financial returns of wind storage power stations can be achieved. © 2026 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"21 8","pages":"1149-1157"},"PeriodicalIF":1.0,"publicationDate":"2026-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148373576","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Development of Heat Transfer Correlations for Outer Surface of Transformer Bushing Porcelain Shell for Thermal Network Modeling 变压器套管瓷壳外表面传热关系式的发展及热网络建模

IF 1.1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2026-06-14 Epub Date: 2025-11-16 DOI: 10.1002/tee.70222

Shuai Yuan, Min Wang, Zheng Zhou

{"title":"Development of Heat Transfer Correlations for Outer Surface of Transformer Bushing Porcelain Shell for Thermal Network Modeling","authors":"Shuai Yuan, Min Wang, Zheng Zhou","doi":"10.1002/tee.70222","DOIUrl":"https://doi.org/10.1002/tee.70222","url":null,"abstract":"Bushing is the critical component of the transformer, and accurate acquirement of its temperature distribution during operation is essential to ensure its safety. The thermal network model is a widely used method for temperature distribution calculation, which has the advantages of accuracy and efficiency, but requires accurate convection heat transfer coefficients as input conditions. However, the outer surface of the porcelain shell is a complex structure composed of multiple weather-sheds of different sizes, so there is currently no equation for its convection heat transfer coefficient calculation, which hinders the application of the thermal network model in transformer bushing. This paper proposed a set of novel Nusselt number correlations for the calculation of convection heat transfer intensity of the outer surface of bushing porcelain shell based on computational fluid dynamics and genetic programming, and the model validation was performed with an experimental setup. The temperature distribution results of the conducting rod obtained from the thermal network model are consistent with the experimental values, with an average relative error of 4.081% and a maximum relative error of 6.634%. This paper promotes the application of thermal network models in transformer bushing, providing a more efficient tool for its optimal design and lifespan evaluation. © 2025 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"21 7","pages":"1007-1019"},"PeriodicalIF":1.1,"publicationDate":"2026-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148247771","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

MFD-YOLO: A Small Traffic Sign Detection Algorithm Applied to the Field of Automated Driving MFD-YOLO：一种应用于自动驾驶领域的小型交通标志检测算法

IF 1.1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2026-06-14 Epub Date: 2025-10-30 DOI: 10.1002/tee.70209

Weigang Kong, Zenghui Qu, Haiying Liu, Dapeng Liu, Lixia Deng, Fei Lin, Chaoqun Wang, Lida Liu

{"title":"MFD-YOLO: A Small Traffic Sign Detection Algorithm Applied to the Field of Automated Driving","authors":"Weigang Kong, Zenghui Qu, Haiying Liu, Dapeng Liu, Lixia Deng, Fei Lin, Chaoqun Wang, Lida Liu","doi":"10.1002/tee.70209","DOIUrl":"https://doi.org/10.1002/tee.70209","url":null,"abstract":"As automated driving technology became more widespread globally, traffic sign detection held significant research importance in autonomous driving. Current detection algorithms faced accuracy challenges due to small, deformed, obscured, or weather-affected targets, resulting in low detection precision. This paper proposed the MFD-YOLO algorithm, based on YOLOv5s, specifically for traffic sign detection environments. The MFD-YOLO algorithm designed a novel Multiple Fusion Convolutions module to enhance feature nonlinearity and diversity. It also incorporated a Small Target Detection module within the detection head structure to improve small target detection accuracy while reducing model complexity, thus enhancing deployment capabilities. Additionally, the paper introduced the Bidirectional Feature Pyramid Network architecture, which fused feature maps of different scales to capture multi-scale information more comprehensively. Extensive validation experiments on the TT100K traffic dataset demonstrated that the MFD-YOLO algorithm outperformed the original YOLOv5s algorithm, achieving improvements of 9.6% and 8.0% in [email protected] and [email protected]:0.95 metrics, respectively, reaching 72.1% and 54.1%. The results indicated that the MFD-YOLO algorithm significantly enhanced traffic sign detection, improving safety in autonomous driving scenarios. © 2025 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"21 7","pages":"1063-1074"},"PeriodicalIF":1.1,"publicationDate":"2026-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148247885","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Applied Study of Hydrodynamic Model on Coastal Area with Mangrove Forest† 海岸带红树林水动力模型的应用研究

IF 1.1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2026-06-14 Epub Date: 2025-10-31 DOI: 10.1002/tee.70208

Xuan Dung Tran, Anh Ha Le, Hong Phuoc Vo Luong

{"title":"Applied Study of Hydrodynamic Model on Coastal Area with Mangrove Forest†","authors":"Xuan Dung Tran, Anh Ha Le, Hong Phuoc Vo Luong","doi":"10.1002/tee.70208","DOIUrl":"https://doi.org/10.1002/tee.70208","url":null,"abstract":"The coastal areas play an important role for humans and life, providing economic resources such as fisheries, tourism, and transportation, while also regulating the climate and maintaining biodiversity. As a region with strong interactions of hydrodynamic factors between rivers and the sea, research on coastal areas is essential for maintaining its current state and protecting the coastal areas from erosion, as well as the impacts of climate change and sea-level rise. Nowadays, with the development of technology and enhanced computing capabilities, the research method using simulation models is widely used. In this study, we have developed a hydrodynamic model that can be applied to calculate and simulate the coastal and mangrove forest areas. The finite volume method combined with the HLL (Harten-Lax-van Leer) scheme is used to ensure stability and conservation of the model. The simulation results provide an overview of the hydrodynamic regime in the study area. The characteristics of the water flow in the mangrove forests also illustrate its role in protecting the coastline, reducing erosion, and accumulating sediment, thereby expanding coastal areas. © 2025 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"21 7","pages":"1117-1122"},"PeriodicalIF":1.1,"publicationDate":"2026-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148247775","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Intelligent Control Strategy of a Battery Energy Storage for a Climate-Controlled Greenhouse with a High Proportion of Local Renewable Energy 局部可再生能源比例高的温控温室电池储能智能控制策略

IF 1.1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2026-06-14 Epub Date: 2025-11-19 DOI: 10.1002/tee.70218

Akihiro Funaki, Jorge Solis

{"title":"Intelligent Control Strategy of a Battery Energy Storage for a Climate-Controlled Greenhouse with a High Proportion of Local Renewable Energy","authors":"Akihiro Funaki, Jorge Solis","doi":"10.1002/tee.70218","DOIUrl":"https://doi.org/10.1002/tee.70218","url":null,"abstract":"Greenhouse cultivation offers the advantage of controlled growth conditions, leading to enhanced crop productivity and quality. However, maintaining these optimal conditions requires substantial energy, resulting in increased greenhouse gas emissions and operational costs. Integrating local renewable energy sources, particularly photovoltaic (PV) solar energy, has demonstrated the potential to reduce energy consumption and costs. This paper proposes a machine learning-based intelligent control strategy for greenhouses using a solar photovoltaic system combined with battery energy storage system (BESS). Long short-term memory (LSTM) forecasting models are developed to forecast power consumption and solar PV production. The outputs of these forecasting models are then fed into a reinforcement learning (RL)-based battery control model. This control model is trained to minimize energy costs by taking advantage of variable electricity spot prices and reducing peak energy consumption. The performance of the proposed system is evaluated with actual operational data. Results show that the proposed model reduces variable charges by 2.2% and 2.7% and decreases peak energy consumption by 24% and 19% in February and March 2023, respectively. Overall, the proposed system demonstrated the potential to utilize local renewable energy, minimize operational costs, and achieve a sustainable energy balance. © 2025 The Author(s). IEEJ Transactions on Electrical and Electronic Engineering published by Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"21 7","pages":"1020-1027"},"PeriodicalIF":1.1,"publicationDate":"2026-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/tee.70218","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148247834","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0