The sustainable energy transition taking place in the 21st century requires a major
revam** of the energy sector. Improvements are required not only in terms of the …

Renewable energy is essential for planet sustainability. Renewable energy output
forecasting has a significant impact on making decisions related to operating and managing …

Accurate and reliable solar radiation forecasting is of great significance for the management
and utilization of solar energy. This study proposes a deep learning model based on Bi …

Wind speed forecasting plays an important role in the stable operation of wind energy power
systems. However, accurate and reliable wind speed forecasting faces four challenges: how …

Quantifying uncertainties in the prediction of building energy consumption is critical to
building energy management systems. In this study, a deep-learning-based interval …

Accurate forecasting of wind power generation plays a key role in improving the operation
and management of a power system network and thereby its reliability and security …

Reliable and accurate ultra-short-term prediction of wind power is vital for the operation and
optimization of power systems. However, the volatility and intermittence of wind power pose …

With the increasing penetration of wind energy, accurate wind power prediction is essential
for efficient utilization, equipment protection, and stable grid-connection of wind energy …

Effective wind-power prediction enhances the adaptability of a wind power system to the
instability of wind power, which is beneficial for load and frequency regulation, hel** to …

In recent years, a variety of wind forecasting models have been developed, prompting
necessity to review the abundant methods to gain insights of the state-of-the-art …