The smart grid is enabling the collection of massive amounts of high-dimensional and multi-
type data about the electric power grid operations, by integrating advanced metering …

Smartgrid is a paradigm that was introduced into the conventional electricity network to
enhance the way generation, transmission, and distribution networks interrelate. It involves …

The growing success of smart grids (SGs) is driving increased interest in load forecasting
(LF) as accurate predictions of energy demand are crucial for ensuring the reliability …

Photovoltaic power has great volatility and intermittency due to environmental factors.
Forecasting photovoltaic power is of great significance to ensure the safe and economical …

Microgrid is becoming an essential part of the power grid regarding reliability, economy, and
environment. Renewable energies are main sources of energy in microgrids. Long-term …

Abstract Artificial Neural Networks (ANNs) have been widely used to determine future
demand for power in the short, medium, and long terms. However, research has identified …

Long-term load forecasting (LTLF) models play an important role in the strategic planning of
power systems around the globe. Obtaining correct decisions on power network expansions …

Renewable energies are the alternative that leads to a cleaner generation and a reduction
in CO 2 emissions. However, their dependency on weather makes them unreliable …

Maritime operators are facing their biggest challenge called Coronavirus (COVID-19) since
the 2008 financial crisis. As part of the measures taken by the countries against the virus, the …

The existing long-term time-series forecasting methods based on the neural networks suffer
from multiple limitations, such as accumulated errors and diminishing temporal correlation …