Microgrids encourage and facilitate the integration of the proliferating distributed energy
resources. In this paper, we address the needs of the largely unexplored region of the …

As digital transformation progresses, smart meters with enhanced monitoring and
communication capabilities gradually replace the old-generation metering infrastructure …

The objective of this paper is to review the academic literature and identify best practices on
the integration of artificial intelligence and sustainable technologies in strategic renewable …

Electric load management through continuous monitoring and intelligent controlling has
become a pressing requirement, particularly in light of rising electrical energy costs. The …

Assessing the effects of the energy transition and liberalization of energy markets on
resource adequacy is an increasingly important and demanding task. The rising complexity …

The increasing use of Renewable Energy Resources (RES) in energy generation has led to
the transformation of the conventional electrical grid into a more adaptable and interactive …

Artificial intelligence (AI) technologies have developed rapidly since 2000. Numerous
academic papers have been published regarding energy efficiency improvements for air …

Aiming at the nonlinear, nonstationary, and time series characteristics of power load, this
study proposes a load forecasting method based on empirical mode decomposition and …

In this paper, we present the concept and formulation of a short-term Markov corrector to an
underlying day-ahead building load forecasting model. The models and the correctors are …

Mines are a complex and challenging industry that needs to consume more energy for the
production of minerals. In order to enhance the energy efficiency of the mining industry …