SHORT-TERM THREE-PHASE LOAD PREDICTION WITH ADVANCED METERING INFRASTRUCTURE DATA IN SMART SOLAR MICROGRID BASED CONVOLUTION NEURAL NETWORK BIDIRECTIONAL GATED RECURRENT UNIT

The collaboration development between the power supply, solar power, and storage batteries is a formidable commission in the smart solar microgrid.The efficient power management integrated into a smart solar microgrid is required to address these problems.The deep learning predictive tools are utilized to forecast the maximum building’s thre

To improve the efficiency of the electric vehicle (EV) drive systems and EV performance, the use of multi-speed transmissions and distributed drives has been studied extensively.In addition, to develop efficient and compact drive systems, new clutch solutions are needed.In this paper, we propose an in-wheel two-speed automatic mechanical transmissi

The experiments were carried out to study the effect of salt-stresses and ABA on the growth, photosynthesis and translocation of assimilates in bean plants.It was planed to reduce the content of GA3 and cytokinins Support Stockings - Compression Hosiery and increase ABA content in salinized plants.The results show that salt-stress (NaCl and concent

With the explosive growth of digital content, the demand for effective information retrieval and summarization has become increasingly important.This paper provides a comprehensive review of automated Pull Along Toy text summarization techniques, focusing on the challenge of condensing large volumes of text into concise summaries.The article explor

To plan operations and avoid any grid disturbances, power utilities require accurate power generation estimates for renewable generation.The generation estimates for wind power stations require an accurate prediction of wind speed and direction.This paper proposes a new prediction model for nowcasting the wind speed and direction, which can be used