Abstract A short-term wind power prediction method is proposed in this paper with experimental results obtained from a farm located Northeast China. In order to improve the accuracy of using traditional back-propagation (BP) neural network algorithm, improved grey wolf optimization (IGWO) algorithm has been adopted optimize its parameters. The performance evaluated by experiments. First, featur...

The scope of this paper is to forecast wind speed. Wind speed, temperature, wind direction, relative humidity, precipitation of water content and air pressure are the main factors make the wind speed forecasting as a complex problem and neural network performance is mainly influenced by proper hidden layer neuron units. This paper proposes new criteria for appropriate hidden layer neuron unit’s...

Reliability allocation to increase the total reliability has become a successful way efficiency of complex industrial system designs. A lot research in past have tackled this problem great extent. This is evident from different techniques developed so far achieve target. Stochastic metaheuristics like simulated annealing, Tabu search (TS), Particle Swarm Optimization (PSO), Cuckoo Search (CS), ...

Big data are regarded as a tremendous technology for processing huge variety of in short time and with large storage capacity. The user’s access over the internet creates massive internet. require an intelligent feature selection model by addressing varieties data. Traditional techniques only applicable to simple mining. Intelligent needed big machine learning efficient classification. Major al...

This article presents a classification method that utilizes impedance spectrum features and an enhanced K-means algorithm for Lithium-ion batteries. Additionally, parameter identification the fractional order model is proposed, which based on flow direction (FDA). In to reduce dimensionality of battery features, Pearson correlation coefficient employed analyze between features. The carried out ...

In this age of technology, building quality software is essential to competing in the business market. One of the major principles required for any quality and business software product for value fulfillment is reliability. Estimating software reliability early during the software development life cycle saves time and money as it prevents spending larger sums fixing a defective software product...

Autonomous mobile robots developed using metaheuristic algorithms are increasingly becoming a hot topic in control and computer sciences. Specifically, finding the shortest route to goal avoiding hurdles current subjects of autonomous robots. The Modified Grey Wolf Optimization (MGWO) is demonstrated this work two approaches: first, Adaptive Adjustment Approach Control Parameters, second, Varia...