Deep Energy AI enhances solar generation calculations by integrating consumption data, such as kWh and kVA, with external solar irradiance data sourced from the Bureau of Meteorology. Our software further incorporates specific details of the solar system, including panel orientation, tilt, and efficiency, to ensure precise modeling. By joining these datasets, Deep Energy AI accurately models solar energy production, taking into account real-time solar irradiance levels and historical weather patterns. This detailed approach ensures precise calculations of solar generation, enabling energy modellers to have a clear understanding of the potential and actual solar output for any given period.
Traditional desktop modeling often relies on seasonal averages to estimate solar generation, which can be unreliable and fail to capture the full impact on maximum demand. Averaging data overlooks daily and hourly variations in solar irradiance, leading to less accurate forecasts. Accurate solar generation modeling helps in designing and optimising solar projects, ensuring they meet expected performance and financial targets. By utilising comprehensive and precise data, energy modellers can evaluate the effectiveness of solar installations, forecast energy production, and identify opportunities for improvement. This capability supports informed decision-making and enhances the accuracy of energy yield predictions, ultimately leading to more efficient and cost-effective solar energy solutions. Embracing Deep Energy AI's advanced modeling features enables energy modellers to maximise the benefits of solar energy and contribute to sustainability goals.