Predicting electricity power consumption is an important task which provides intelligence to
utilities and helps them to improve their systems' performance in terms of productivity and …

Modern computing resources, including machine learning-based techniques, are used to
maintain stability between the demand and supply of electricity. Machine learning is widely …

Non-technical losses, especially by cause of electricity theft have been a primary care in
power system during long period of time. Huge absorption of electricity in a fraudulent way …

Energy has a strategic role in the economic and social development of countries. In the last
few decades, energy demand has been increasing exponentially across the world, and …

Electricity as an energy carrier par excellence has a vital role in economic development.
However, even with the transformation of power systems that follows technological …

The development of data-driven building energy consumption prediction models has gained
more attention in research due to its relevance for energy planning and conservation …

The short-term power load prediction of single households is a challenging issue in the
research fields of Smart Grid (SG) management/planning, viable energy usage, energy …

The rapid increase in human population and development in technology have sharply
raised power consumption in today's world. Since electricity is consumed simultaneously as …

Since electrical energy is generated and consumed simultaneously, predicting the energy
consumption helps network operators to optimize their planning assuring stable supply of …

The forecast of electricity demand in recent years is becoming increasingly relevant because
of market deregulation and the introduction of renewable resources. To meet the emerging …