Integration of Renewable Energy in Power Systems by Employing AI
Keywords:
Artificial Intelligence (AI), Machine learning algorithms, Predictive Model, Renewable energy sector, Foreign Direct Investment (FDI)Abstract
India has made significant strides in the renewable energy sector. It currently ranks 4th globally in terms of installed capacity for renewable energy, encompassing wind and solar power. The country has set an ambitious target of achieving 500 GW of non-fossil fuel-based energy by 2030, making it the world's most significant expansion plan for renewables. India's non-fossil fuel capacity currently stands at over 198.75 GW, accounting for approximately 45% of the total capacity. The growth in solar energy has been particularly remarkable, with a 30-fold increase in capacity over the past nine years. The potential for solar energy in India is estimated at a staggering 748 GWp. Furthermore, India has witnessed a substantial increase in renewable energy capacity since 2014, with a growth rate of around 128%. To incentivize investment, the government allows up to 100% Foreign Direct Investment (FDI) for renewable energy projects, subject to the provisions of The Electricity Act 2003. These developments underscore India's steadfast commitment to a sustainable, clean energy future. Given these insights, it is evident that the renewable energy sector in India is a burgeoning industry poised for further growth. The advancement in AI technology will be advantageous for seamlessly integrating renewable energy into the global power sector.