As the load on distribution networks grows, system operators and planners are constantly challenged with issue of voltage regulation or enhancing quality supply to customers at end lengthy lines. This paper presents optimum determination series capacitor units in a maximize energy-saving enhance levels. Interestingly, capacitors can capability transmission lines, reduce line losses, performance...

Integrating renewable resources into the electrical systems of marine vessels achieves dual goal diversifying energy and reducing greenhouse gas emissions. The presence intermittent sources sudden nonlinear load changes can cause frequency deviations in isolated hybrid microgrids. To address this issue, paper proposes a conventional PID (proportional–integral–derivative)-controller-based LFC (l...

Over the last few years, Convolution Neural Networks (CNN) have shown dominant performance over real world applications due to their ability find good solutions and deal with image data. However is highly dependent on network architecture methods for optimizing hyper parameters especially number size of filters. Designing a CNN requires human expertise domain knowledge. So, it difficult in suff...

Abstract In medical science, collecting and classifying data from various diseases is a vital task. The confused large amounts of are problems that prevent us achieving acceptable results. One the major for diabetic patients failure to properly diagnose disease. As result this mistake in diagnosis or early diagnosis, patient may suffer complications such as blindness, kidney failure, cutting of...

Wheat dominates the Australian grain production market and accounts for 10–15% of world’s 100 million tonnes annual global wheat trade. Accurate yield prediction is critical to satisfying local consumption increasing exports regionally globally meet human food security. This paper incorporates remote satellite-based information in a wheat-growing region South Australia estimate by integrating k...

Automatic programming (AP) is an important area of Machine Learning (ML) where computer programs are generated automatically. Swarm Programming (SP), a newly emerging research in AP, automatically generates the using Intelligence (SI) algorithms. This paper presents two grammar-based SP methods named as Grammatical Moth-Flame Optimizer (GMFO) and Whale (GWO). The Optimization algorithm used sea...