A recent study led by P. V. Matrenin from Novosibirsk State Technical University and Ural Federal University has made significant strides in improving the accuracy of energy generation forecasts for photovoltaic (PV) plants. Published in “News of Hig
New Study Enhances Solar Energy Forecasting Accuracy with Machine Learning Read More »
A recent study led by Yu. V. Bladyko from the Belarusian National Technical University presents a simplified method for calculating the mechanics of flexible conductors in switchgears and power lines. Published in the journal “News of Higher Educatio
Belarusian Study Simplifies Flexible Conductor Calculations for Safety and Reliability Read More »
Recent research led by G. N. Uzakov from the Karshi Engineering Economics Institute has made significant strides in optimizing wind energy generation through advanced computational fluid dynamics (CFD) modeling. The study, published in “News of Highe
Breakthrough Wind Energy Research Optimizes Turbine Efficiency with CFD Read More »
Recent research led by Zefeng Huang from the Shenzhen Key Laboratory of Intelligent Optical Measurement and Detection at Shenzhen University has shed light on the exciting potential of zinc sulfide (ZnS) in the realm of mechanoluminescence (ML). The
Zinc Sulfide Breakthrough Promises Self-Powered Light for Energy Solutions Read More »
A recent study led by Hamza Mustafa from the University of Cassino and Southern Lazio has made significant strides in the field of lithium-ion (Li-ion) battery research by creating a new dataset focused on Electrochemical Impedance Spectroscopy (EIS)
New Dataset Revolutionizes Lithium-Ion Battery Performance Insights Read More »
A recent study published in ‘Scientific Data’ presents a comprehensive dataset on electric road mobility, projecting the future of electric vehicle (EV) adoption through to 2050. Led by Irvylle Cavalcante from INESC-ID, the research highlights the cr
New Study Projects Electric Vehicle Adoption Surge by 2050 Read More »
Recent advancements in wind power forecasting have been unveiled in a study led by Moussa Belletreche from the Department of Matter Sciences at Ahmed Draia University of Adrar. Published in the journal Scientific Reports, the research introduces a hy
New Deep Learning Model Revolutionizes Wind Power Forecasting Accuracy Read More »
In an era where cloud computing is becoming increasingly integral to business operations, a new study has emerged that addresses a significant challenge in this space: task scheduling. Sudheer Mangalampalli from the Department of Computer Science and
New Deep Learning Scheduler Boosts Cloud Efficiency and Cuts Costs Read More »
A recent study led by Haoyi Xiao from the College of Science at Wuhan University of Science and Technology has introduced a groundbreaking method for predicting offshore wind power. Published in the International Journal of Electrical Power & Energy
Wuhan University Study Unveils Advanced Method for Offshore Wind Power Predictions Read More »
A recent study led by Mahmut Turhan from the Turkish Naval Force’s Research Center in Ankara has unveiled an innovative charging system designed specifically for lead-acid submarine batteries. Published in “Engineering Science and Technology, an Inte
Innovative IGBT Charging System Boosts Submarine Battery Efficiency Read More »
