The usage of IoT-based smart meter in electric power consumption shows a significant role
in helping the users to manage and control their electric power consumption. It produces …

Forecasting the electricity load provides its future trends, consumption patterns and its
usage. There is no proper strategy to monitor the energy consumption and generation; and …

The employment of smart meters for energy consumption monitoring is essential for
planning and management of power generation systems. In this context, forecasting energy …

Abstract Machine learning approaches have diverse applications in forecasting electrical
energy consumption using smart meter data. Various classification techniques and …

The prediction of electricity consumption is a vital foundation for smart energy management.
Since the consumption of power varies with different appliances, better forecasting of power …

The prediction of power consumption of smart meters plays a vital role in power distribution
and management in the smart grid, which depends on real-time and historical data …

The ongoing upsurge of deep learning and artificial intelligence methodologies manifest
incredible accomplishment in a broad scope of assessing issues in different industries …

With the growth of forecasting models, energy forecasting is used for better planning,
operation, and management in the electric grid. It is important to improve the accuracy of …

Electrical load forecasting provides knowledge about future consumption and generation of
electricity. There is a high level of fluctuation behavior between energy generation and …

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 …