The ability to forecast solar irradiance plays an indispensable role in solar power
forecasting, which constitutes an essential step in planning and operating power systems …

The industrial process consumes substantial energy and emits large amounts of carbon
dioxide. With the help of accurate energy consumption and carbon emissions forecasting …

Despite the advances in solar forecasting methods, and their ever-increasing accuracy, little
is known about their value for real applications, eg, bidding in the electricity market, power …

Renewable energy forecasting is crucial for integrating variable energy sources into the grid.
It allows power systems to address the intermittency of the energy supply at different …

Integrating large proportions of intermittent renewable energy sources into electric grids is
challenging. A well-established approach aimed at addressing this difficulty involves the …

With increasing awareness towards environmental concern, efforts are made to reduce
harmful effects of conventional electricity generation methods and uses of renewable …

Sky image-based solar forecasting using deep learning has been recognized as a
promising approach in reducing the uncertainty of solar power generation. However, a major …

China's recently announced directive on tackling climate change, namely, to reach carbon
peak by 2030 and to achieve carbon neutrality by 2060, has led to an unprecedented …

Solar photovoltaic systems largely integrated within the distribution grid are operated
'behind-the-meter'and power generation cannot be directly monitored by most utilities. The …

Forecasts are always wrong, otherwise, they are merely deterministic calculations. Besides
leveraging advanced forecasting methods, post-processing has become a standard practice …