Planning under strict rules without losing agility: the new ENEL model

A regulated, distributed business with high decision-making complexity

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The electricity sector is characterized by a challenging combination of high regulation, controlled margins, multiple actors and an enormous sensitivity to external variables. In this context, ENEL Brasil operated with several distributors that had to comply with strict ANEEL regulations, manage complex energy balances and project margins under different regulatory, financial and operational scenarios.

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Before the project, each distributor worked with different criteria, models and tools, making it difficult to compare results, consolidate information and generate an integrated vision of the business. Los margin analysis required manual processes, multiple versions and a high operational effort, with low capacity for rapid simulation in the face of regulatory changes or strategic decisions of the group.

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The need to unify criteria and anticipate risks across the network

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ENEL defined as a strategic objective to build a single system that would make it possible to standardize distribution margin planning, integrating energy planning, financial projections and energy balance monitoring. It was not just a matter of consolidating information, but of enabling a collaborative process that would connect all the distributors under the same business logic, maintaining the necessary flexibility to meet the specific regulatory requirements of each unit.

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The company needed a platform capable of supporting scenario simulations, evaluating risks and opportunities, and facilitating management and board decision-making, aligning financial planning, energy operation and regulation in a single digital environment.

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Pyplan as a unifying planning and simulation platform

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With Pyplan, ENEL developed a centralized and collaborative model for distribution margin planning. The solution integrated a regulatory model aligned with current ANEEL regulations, energy planning, energy balance monitoring and the financial projections of all distributors.

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The flexibility of Pyplan made it possible to build a model adaptable to ENEL's own processes, with the capacity to assign margin accounts according to board requirements and automatically consolidate financial information under homogeneous rules. Through dashboards and dashboards, teams access a single version of the truth, with complete visibility over scenarios, risks and expected outcomes.

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The use of advanced analytics and artificial intelligence facilitated the rapid simulation of scenarios, the agile updating of versions and the standardization of forecasting and budgeting processes. In this way, ENEL moved from a fragmented and reactive approach to a predictive and prescriptive model, where planning becomes a strategic tool for anticipating regulatory, financial and operational impacts throughout the distribution network.

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Discover how Pyplan can help you integrate planning, regulation and finance into a single intelligent model.
Learn about our solutions or talk to an expert:
👉 https://pyplan.com/es/entre-en-contacto/

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