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Understanding business as usual

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Deep Energy AI models baseline scenarios by calculating interval-by-interval energy costs, projecting future costs with a wholesale electricity price forecast, and providing detailed metrics, enabling building owners to evaluate current and future energy costs and make informed decisions.

Modeling Baseline Scenarios with Deep Energy AI

Deep Energy AI provides a robust framework for modeling the current state, or baseline scenario, of your energy projects. The software calculates energy costs from tariffs, interval by interval, as the scenario runs. It then projects yearly costs into the future using a wholesale electricity price forecast. The results are presented in detailed engineering and financial metrics, charts, and tables. This comprehensive output allows users to evaluate the current state, extending up to 50 years into the future. Building owners can gain an understanding of current and projected energy costs, as well as other critical metrics like electrical loads and maximum demand. This baseline scenario serves as the foundation for modeling alternative "what-if" scenarios, enabling thorough comparative analysis.

Why should building owners and operators care about accurately modeling the current state?

The benefits are substantial. By establishing a precise baseline, owners can evaluate business-as-usual. With key insights into cost breakdowns, individual, and typical load profiles, as well as maximum demand and daily demand. This clarity supports strategic decision-making, helping to prioritize investments and optimize energy usage. Additionally, the baseline scenario enables the evaluation of the cost of doing nothing into the future, highlighting the potential financial impact of inaction. The baseline scenario can be used to model alternative, 'what-if' scenarios, to evaluate participation in demand response programs, and negotiating better energy contracts, and much more. Ultimately, having a reliable baseline empowers building owners to make informed decisions that enhance financial performance, drive sustainability goals, and improve overall operational efficiency.

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