Trends in Electrical Engineering

Energy management in smart homes is becoming one of the main requirement because of fast growth in electricity demand, renewable sources, and electric vehicles. A proper household energy management system not only reduce the energy cost but also help to maintain stability of power grid.

AI and machine learning models now help manage resource supplies and price changes across key Indian markets. The development and application of advanced predictive analytics in India's agriculture supply chain and wholesale energy market systems are examined here.

Increasingly more electric vehicles (EVs) are being used, resulting in a higher demand for an onboard EV or onboard charging system that is efficient and safe, and that also will provide reliable performance for EVs under different conditions.

The increasing adoption of multilevel power converters in renewable energy systems, electric vehicles, and smart grid applications has created a growing demand for advanced switching optimization techniques capable of minimizing harmonic distortion while maintaining high conversion efficiency.

In recent years, energy system going very complex because of more renewable sources, electric vehicles, storage devices and smart consumer demand. Old distribution grid cannot handle this complexity properly.

Short-term residential load forecasting is increasingly used in demand response, home energy management, and data-driven grid operation, yet reported gains are often difficult to attribute to either the forecasting algorithm or the temporal representation supplied to it.