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Artificial intelligence-based methods for renewable power system
This Review outlines the potential of artificial intelligence-based methods for supporting renewable power system operation.
Intelligent decision-making of distribution network planning scheme
With this purpose, this paper presents a novel methodology for the analysis and the advanced planning of the active distribution networks in the context of smart grids.
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(PDF) Research on collaborative planning model of main distribution
With the help of particle swarm optimization algorithm and genetic algorithm with improved constraint factors, the model is solved.
A comprehensive review of artificial intelligence applications in wind
In recent years, data-driven approaches and machine learning-based methods have helped to enhance the operation and maintenance (O&M) of wind farms. These techniques can
Innovative integration of DMFC in polygeneration energy systems for
Wind power is a cleaner and more cost-effective alternative to traditional energy sources, providing electricity by converting wind''s kinetic energy into electrical output, accessible worldwide
IJERT – International Journal of Engineering Research
International Journal of Engineering Research & Technology is a peer-reviewed, open access and multidisciplinary engineering, technology and science journal
Think | IBM
Experience an integrated media property for tech workers—latest news, explainers and market insights to help stay ahead of the curve.
U.S. News: Latest Breaking Stories and Video on National Issues
Get the latest news headlines and top stories from NBCNews . Find videos and news articles on the latest stories in the US.
Gartner Business Insights, Strategies & Trends For
Gain strategic business insights on cross-functional topics, and learn how to apply them to your function and role to drive stronger performance and innovation.
Photovoltaic array reconfiguration strategies for mitigating partial
Reconfigurable photovoltaic arrays are an interesting alternative for compensating the power loss caused by partial shading (PS). This review covers P
Integrating data-driven and physics-based approaches for robust wind
A detailed MATLAB Simulink model was developed to replicate turbine behaviour under identical wind conditions, physically, providing robust validation for ML predictions.
Medium-voltage systems | Siemens
Support economical and reliable power distribution with Siemens Energy Systems. Our insulated medium-voltage switchgear provides coordinated solutions for diverse applications,
Advancing short-term wind power forecasting by AI-driven
Accurate short-term wind power forecasting is crucial for the effective incorporation of renewable energy into modern power systems.
A review of enhancing wind power with AI: applications, economic
Artificial intelligence (AI), particularly machine learning (ML), enhances the efficiency and sustainability of power generation in wind energy systems. This study employs a systematic literature
Dynamic reconfiguration of distribution network
This study presents a new methodology to perform the distribution network dynamic reconfiguration (DNDR), taking into consideration the
Newsroom
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unsupervised_topic_modeling/topics/en/17/100/100/topics at
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