The collection and storage of large‐scale load data in a smart grid provide new approaches
for the efficient, economical, and safe operation of power systems. Deep Learning (DL) has …

Forecasting electricity demand at the regional or national level is a key procedural element
of power-system planning. However, achieving such objectives in the residential sector, the …

Electricity consumption is increasing rapidly, and the limited availability of natural resources
necessitates efficient energy usage. Predicting and managing electricity costs is …

The forecasting of electricity demands is important for planning for power generator sector
improvement and preparing for periodical operations. The prediction of future electricity …

Electric vehicles (EV) are gaining popularity due to their reduced pollution, fewer emissions,
and energy savings but has big challenges like driver's range anxiety, that slows down the …

The integration of human physical processes with the computation has created a new
paradigm called Cyber-Physical Systems (CPS). The CPSs control the physical processes …

A fundamental element of power-system planning is estimating electricity demand at the
national level. However, given the residential sector's trend of rapidly fluctuating energy …

The COVID-19 pandemic engulfed the entire world. RT-PCR assessment nowadays is a
metric golden standard for contemplating COVID. However, this method takes time and …

Generally, people prefer their audio to be with very good clarity. They want no disturbances
during any interaction and while listening audio files. Automated systems to remove …

Despite ongoing improvements, gradient-based reinforcement learning (RL) algorithms
involving Neural Networks (NN), remain deficient in reaching the expected behavior by the …