This paper proposes a model called X-LSTM-EO, which integrates explainable artificial intelligence (XAI), long short-term memory (LSTM), and equilibrium optimizer (EO) to reliably forecast solar power
Solar PV power generation capacity is projected to reach 7000 TWh by 2050 [1]. PV power generation is highly dependent on uncontrolled weather and environmental conditions, such as module temperature, solar
The results show the impact of climate change on solar energy generation potential is geographically different. Based on the historical data, the estimated electricity generation potential from conventional PV, PV/PCM, and
In the context of escalating concerns about environmental sustainability in smart cities, solar power and other renewable energy sources have emerged as pivotal players in the global effort to curtail greenhouse gas
In the United States, utility-scale solar capacity additions outpaced additions from other generation sources between January and August 2023—reaching almost 9 gigawatts (GW), up 36% for the same period in 2022—while small-scale solar
Through a systematic literature survey, this review study summarizes the world solar energy status (including concentrating solar power and solar PV power) along with the published solar energy potential assessment articles for 235 countries and territories as the first step toward developing solar energy in these regions.
Solar PV power generation capacity is projected to reach 7000 TWh by 2050 . PV power generation is highly dependent on uncontrolled weather and environmental conditions, such as module temperature, solar irradiance, wind speed, wind pressure and direction, atmospheric temperature, humidity, etc.
Provided by the Springer Nature SharedIt content-sharing initiative Photovoltaic (PV) solar energy generating capacity has grown by 41 per cent per year since 20091. Energy system projections that mitigate climate change and aid universal energy access show a nearly ten-fold increase in PV solar energy generating capacity by 20402,3.
Several studies have been conducted in order to develop appropriate forecasting models to accurately predict the power generation of solar PV systems, with minimum complexity and cost. PV output power prediction generally involves three steps. The first is extracting the energy characteristics and analyzing the factors that affect them.
As shown in Fig. 1, by 2050, solar PV technology is projected to have the largest installed capacity (8519 GW), making it the second most prominent generation source behind wind power, and it is expected to generate approximately 25% of total electricity needs by 2050. Table 1. Global installed solar capacity from 2013 to 2022. Table 2.
The share of solar PV and wind in global electricity generation is forecast to double to 25% in 2028 in our main case. This rapid expansion in the next five years will have implications for power systems worldwide.
