Results 41 to 50 of about 27,643 (149)

Machine Learning a Predictive Tool for the Analysis of NiCo2S4/Graphene Composites for Supercapacitor

ChemSusChem, EarlyView.
The present review explores the recent advancements of NiCo2S4/graphene nanocomposite as a promising active material for supercapacitors. Machine learning models are demonstrated to analyze the specific capacitance variation with respect to different synthesis parameters, morphology, energy density, and power density.
Heena S. Mulla, Digambar S. Sawant, Sandesh V. Gaikwad, Akash V. Fulari, Rajesh K. Nimat, Deepak P. Dubal, Gaurav M. Lohar   +6 more
wiley   +1 more source

Review of artificial intelligence applications in geothermal energy extraction from hot dry rock

Deep Underground Science and Engineering, EarlyView.
This paper systematically summarized the applications of artificial intelligence (AI) in hot dry rock (HDR) geothermal exploitation and discussed the limitations and opportunities. A novel intelligent HDR exploitation system was proposed to promote the development of HDR toward more efficiency, economy, and intelligence.
Kun Ji, Hong Li, Yu Zhao, Kaoshan Dai, Sai Liu, Chun'an Tang   +5 more
wiley   +1 more source

Enhancing Energy Storage Efficiency: Advances in Battery Management Systems in Electric Vehicles

Energy Technology, EarlyView.
The rapid adoption of electric vehicles (EVs) underscores the urgent need for advanced battery management systems (BMS) to ensure safety, efficiency, and reliability. This article delves into the core functionalities of BMS, including state estimation, thermal management, and cell balancing, which are pivotal for optimizing battery performance ...
Hamid Naseem, Abdul Hadi, Min‐Jae Kang, Jul‐Ki Seok   +3 more
wiley   +1 more source

Mod Tanh‐Activated Physical Neural Network MPPT Control Algorithm for Varying Irradiance Conditions

Energy Science &Engineering, EarlyView.
The proposed MPPT controller (CRT‐POA‐PID) is implemented to enhance power efficiency in the PV system. The beta‐distributed point estimation technique is used for mismatch factor correction, improving performance. Simulations show a 98.42% efficiency improvement, a 4.54 dB reduction in total harmonic distortion, and faster convergence compared to ANN ...
Khuong Nguyen‐Vinh, Surender Rangaraju, Michal Jasinski   +2 more
wiley   +1 more source

Data‐Driven Feature Decomposition Integrated Prediction Model for Dust Concentration in Open‐Pit Mines

Energy Science &Engineering, EarlyView.
ABSTRACT Accurate prediction of dust in open‐pit mines can serve as a foundation for implementing dust prevention and control measures. Based on the collection and monitoring of dust concentration, meteorological, and production data from open‐pit mines, the changing characteristics of dust concentration and its influencing factors were analyzed.
Shuangshuang Xiao, Jin Liu, Qing Yang, Zhiguo Chang, Yonggui Zhang   +4 more
wiley   +1 more source

An Optimized Power Load Forecasting Algorithm Based on VMD‐SMA‐LSTM

Energy Science &Engineering, EarlyView.
This paper proposes a load forecasting method that successfully combines the VMD‐SMA‐LSTM algorithms for load forecasting, and compares it with existing methods, demonstrating the superiority of the algorithm. ABSTRACT Accurate load forecasting can scientifically guide the optimal operation and scheduling of urban power grids.
Wei Liu, Fan Hua, Yongping Cui, Yangchao Xu, Han Liu   +4 more
wiley   +1 more source

Solar FaultNet: Advanced Fault Detection and Classification in Solar PV Systems Using SwinProba‐GeNet and BaBa Optimizer Models

Energy Science &Engineering, EarlyView.
ABSTRACT Detection of faults in solar photovoltaic (PV) systems is an important concern to guarantee that renewable energy source generation keeps its efficiency and reliability. It directly affects the development of sustainable development goals (SDGs), especially those on affordable and clean energy and climate action.
Praveen Kumar Balachandran, Muhammad Ammirrul Atiqi Mohd Zainuri, Faisal Alsaif   +2 more
wiley   +1 more source

A New Modeling Method for Meteorological Information of Regional Distributed Photovoltaic Power Generation Based on Multi‐Source Information Fusion

Energy Science &Engineering, EarlyView.
ABSTRACT With the increasingly significance of distributed photovoltaic (DPV) generation in modern energy structures, requirements for intelligent operation and accurate power forecasting have grown significantly. Precise meteorological information is the foundation for achieving these functions.
Yuhang Wang, Dengxuan Li, Wenwen Ma, Xi Zhang, Honglu Zhu   +4 more
wiley   +1 more source

GAN‐LSTM‐3D: An efficient method for lung tumour 3D reconstruction enhanced by attention‐based LSTM

CAAI Transactions on Intelligence Technology, EarlyView., 2023
Abstract Three‐dimensional (3D) image reconstruction of tumours can visualise their structures with precision and high resolution. In this article, GAN‐LSTM‐3D method is proposed for 3D reconstruction of lung cancer tumours from 2D CT images. Our method consists of three phases: lung segmentation, tumour segmentation, and tumour 3D reconstruction. Lung
Lu Hong, Mohammad Hossein Modirrousta, Mohammad Hossein Nasirpour, Mohammadreza Mirshekari Chargari, Fardin Mohammadi, Seyed Vahid Moravvej, Leila Rezvanishad, Mohammadreza Rezvanishad, Ivan Bakhshayeshi, Roohallah Alizadehsani, Imran Razzak, Hamid Alinejad‐Rokny, Saeid Nahavandi   +12 more
wiley   +1 more source

A Regional Distributed Photovoltaic Power Forecasting Method Based on Cluster Division and Selection of Representative Plants

Energy Science &Engineering, EarlyView.
ABSTRACT As the proportion of distributed photovoltaic (DPV) power generation in the energy structure increases, accurate forecasting of its power output is crucial for ensuring the stability and reliability of the power grid. The crux of DPV power forecasting lies in the effective division of DPV plant clusters and the selection of representative ...
Honglu Zhu, Xi Zhang, Yuhang Wang, Huang Ding   +3 more
wiley   +1 more source