Bearing in mind European Green Deal assumptions regarding a significant reduction of
green house emissions, electricity generation from Renewable Energy Sources (RES) is …

The main objective of this study is to estimate carbon oxides (CO) and nitrogen oxides (NO
x) emissions from a gas turbine using the predictive emission monitoring systems dataset …

Over the next decades, solar energy power generation is anticipated to gain popularity
because of the current energy and climate problems and ultimately become a crucial part of …

The simulation technology of wind and solar power output can provide data support for the
planning of new energy stations and the optimization and scheduling of power systems. In …

Sustainability can achieve a balance among economic prosperity, social equity, and
environmental protection to ensure the sustainable development and happiness of current …

The effectiveness of a solar photovoltaic module relies on location related factors, including
latitude, seasonal variations, irradiance levels, clearness index, and similar elements. In …

For a long time, fossil fuels have been the primary source for meeting energy demands and
driving economic growth worldwide [[1],[2],[3]]. However, in recent years, the negative …

Correctly anticipating PV electricity production may lessen stochastic fluctuations and
incentivize energy consumption. To address the intermittent and unpredictable nature of …

In this study, a novel methodology for the estimation of solar PV resources at different
regional levels was assessed. The method consists of using a machine learning model over …

Day-ahead photovoltaic (PV) power forecasting plays a crucial role in power market trading
and grid dispatching. It has been empirically demonstrated in various fields that combining …