As per economic development and urbanization, there is a touchy impact on energy
consumption for commercial building infrastructures. Energy consumption analysis of …

Accurately predicting quarterly or monthly energy consumption remains challenging so far.
Despite the abundance of relevant studies, most of them focus on univariate modeling …

It is critical to maintain a balance between the supply and the demand for electricity because
of its non-storable feature. For power-producing facilities and traders, an electrical load is a …

Energy forecasting tools became a significant scope of application for time series modeling
due to the specific challenges in energy trading—the forecast of consumption for the whole …

Forecasting energy consumption in Saudi Arabia for the period from 2020 until 2030 is
investigated using a two-part composite model. The first part is the frontier, and the second …

China has advocated and developed renewable electricity to protect the environment and
achieve sustainable development. However, non-renewable electricity continues to …

The achievement of the carbon peaking and carbon neutrality targets requires the
adjustment of the energy structure, in which the dual-carbon progress of the power industry …

Predicting electricity demand is crucial for ensuring energy security. However, the low-
carbon energy transition has brought a new bidirectional feedback between power demand …

Electricity management and power sources must be properly managed to ensure efficient
usage of electricity. This necessitates the requirement for accurate electrical demand …

This study presents a comprehensive review of the impact of artificial intelligence (AI) and
machine learning (ML) on enhancing energy efficiency, particularly in the context of …