Abstract: Nation development is closely tied to electrical energy consumption, prompting improvements in generation, transmission, and utilization to meet rising demand. In the U.S., demand doubled every decade until the early 1970s, while developing countries like India see a doubling every seven years, necessitating significant investments in the power sector. To meet rising energy demand affordably, reliance on fossil fuel-based power plants—such as thermal, diesel, and hydroelectric—has increased. However, their consumption significantly contributes to global warming and environmental damage, highlighting the need for alternative, eco-friendly energy sources like renewables. Many individuals are now adopting green energy solutions, such as solar, wind, and hydropower, with government initiatives supporting this shift. Additionally, dependence on fossil fuels raises national security concerns. Conventional power plants are often located far from load centers, primarily due to environmental factors. For example, large hydroelectric stations are typically situated hundreds of kilometers away from where the electricity is consumed. This results in significant costs and energy losses during the lengthy transmission process from generation to utilization. This paper addresses the challenges of long-distance power transmission, including the selection of suitable transmission systems and issues with electrification in difficult geographical areas. It explores Solar DC Homes as an alternative solution and discusses how integrating Artificial Intelligence with solar PV systems can enhance efficiency through various research and applications
Keywords: DC Homes, Artificial Intelligence, Solar PV System
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