Pathology of the Model of Wind Turbine Manufacturing Technology Transfer in Iran

Abstract

Attention to Renewable energy resources, first, because of the increasing environmental pollution and climate change , and the second due to reduce supplies of fossil fuels, is one of the policy priorities in many countries, especially developed countries has become. because of a broad range of environmental damage and international commitments, developing countries have been obliged to enter into this field. attention to the gap between developed and developing countries in the field of renewable energy technologies, technology's transfer the first and most effective way for developing countries in this field. Iran also is no exception and takes a step in this direction. given the obstacles and challenges that there are in developing countries for technology's transfer, this paper a review of a project comes in technology's transfer in the field of wind turbines. the main reasons for the success of the project are indentified and improved model is proposed for future project.

Using probabilistic machine learning methods to improve beef cattle price modeling and promote beef production efficiency and sustainability in Canada

“…A comparison between the multivariate and univariate algorithms are done to evaluate the best modelsʹ performance on cattle price prediction for verification of the forecasts. To minimize errors in prediction models, predicted prices are assessed using mean absolute error (MAE), root mean square error (RMSE), and mean square error (MSE) [49][50][51][52].…”