Deep Energy AI excels in calculating the wholesale electricity spot price (WSP) for electricity cost projections and system simulations by analyzing data interval by interval. Our software accurately captures real-time consumption data and combines it with WSP data specific to the appropriate region. Additionally, Deep Energy AI uses price projection curves to forecast future spot prices, allowing users to input their own projections or select from our extensive library. This capability ensures that electricity price fluctuations are thoroughly included in any analysis, providing a robust foundation for financial planning and strategic decision-making.
The benefits are profound. By incorporating precise spot price data into simulations of costs and benefits, building owners can achieve a more accurate financial forecast. This accuracy is crucial for budgeting, as it helps anticipate and mitigate the impact of price volatility. Additionally, being able to model future price scenarios enables building owners to negotiate better power purchasing agreements and evaluate potential savings from different tariff options. Calculating the benefit of being on a WSP contract, avoiding the retail mark-up, provides further financial advantages. Embracing Deep Energy AI's advanced spot price modeling capabilities enhances the ability to optimise energy expenditures and supports long-term financial and operational efficiency.