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Nextracker And JM Steel Expand Production Lines In Pittsburgh, PA Region

An expanded partnership between the solar tracker and software firm and JM Steel in Leetsdale, PA more than doubles production capacity of clean energy technology equipment for Nextracker. An expanded partnership between the solar tracker and software firm and JM Steel in Leetsdale, PA more than doubles production capacity of clean energy technology equipment for Nextracker. ....

United States , Las Vegas , Dan Shug , Dan Shugar , Yuri Horowitz , Matt Smith , Tony Calandra , Us Energy Information Administration , Allegheny Conference On Community Development , Sol Systems , Information Administration , World War , Tubes United States , Chief Growth Officer , Allegheny Conference , Jm Steel , Allegheny Conference On Community Development , Jam Steel , Ennsylvania Pa , Pittsburgh Region , Ingle Location , Solar Energy , Teel Manufacturing ,

JSW Group to invest Rs 65,000 crore in steel, cement plants in Odisha

The steel facility to is expected to drive economic growth in the region and generate around 30,000 direct and indirect jobs, the company has said ....

Steel Corporation , Industrial Development Corporation Of Odisha , Industrial Development Corporation , Teel Manufacturing ,

Ethiopia: A Steel Factory to be built in Mekele, Tigray

A steel manufacturing industry is set to be constructed in Mekele city through a collaboration between Ethiopian and Chinese investors, with an estimated cost of Birr 6 billion. ....

Alli Yoon , Yared Tesfaye , Steel Factory , Teel Manufacturing ,

"A novel strategy based on machine learning of selective cooling contro" by Pengfei Wang, Jinkun Deng et al.

Precise selective cooling control of work roll can significantly improve the cold rolled strip flatness in steel manufacturing industry. To improve the control accuracy of the coolant output of selective work roll cooling control system, a machine learning (ML) algorithm with differential evolution-gray wolf algorithm optimization support vector machine regression (DE-GWO-SVR) model has been proposed for the first time in this study. This model combines the differential evolution (DE) with grey wolf optimization algorithm (GWO) to improve the optimization performance of the algorithm. Then, the SVR model parameters are optimized with differential evolutionary gray wolf hybrid algorithm (DE-GWO) to improve the regression accuracy. Finally, the influences of data normalization methods and the selection of SVR kernel functions were systematically investigated. Compared with the test results of other regression models, the evaluation index R 2 based on the DE-GWO-SVR model is greater and ....

Cold Rolling Process , Machine Learning Model , Elective Work Roll Cooling , Teel Manufacturing , Trip Flatness ,