Energy forecasting is an important application of machine learning in renewable energy
because it is used for operational, management, and planning purposes. However, using …

Background: Electricity is considered as the essential unit in today's high-tech world. The
electricity demand has been increased very rapidly due to increased urbanization,(smart …

This research focuses on the crucial task of accurately forecasting electricity consumption, a
key concern in modern societies where electricity is essential for industries, healthcare, and …

Short-term electricity demand forecast is of great significance for guiding the Power Grid
Company production operation, but the existing forecast mainly concentrated on load …

Electrical energy is the locomotive of the economy, industry, and development in terms of the
development of countries. In order to meet the need during the periods when the energy …

An accurate residential load forecast benefits a consumer domain energy management
system extensively, as it provides minimum threshold energy to the consumers instead of …

Electricity demand forecasting is an important research area, most of the research focuses
on forecasting the electricity consumption that is the critical process for planning the electric …

The use of the forecasting system is becoming more prominent in recent years. One of the
implementations of the forecasting system is to predict electricity consumption demand. In …

Electricity is natural but not a storable resource and has a vital role in modern life. Balancing
between consumption and production of the electricity is highly important for power plants …

In this paper, the power load data is increasing exponentially and the traditional forecasting
model is fatigued and difficult to achieve high efficiency when dealing with massive data. A …