Collects energy usage data from various sources, processes it, and stores it in a centralized database. This enables informed decision-making, optimizes resource allocation, and reduces operational costs through data-driven insights.
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The Automate Energy Data Collection process involves gathering and organizing energy consumption data to inform business decisions. This workflow step includes: 1. **Data Source Identification**: Identifying the sources of energy data, such as meters or building management systems. 2. **Data Retrieval**: Collecting data from these sources, either manually or through automated means. 3. **Data Validation**: Ensuring the accuracy and consistency of collected data. 4. **Data Storage**: Storing the validated data in a secure and accessible location. 5. **Reporting and Analytics**: Providing insights and visualizations to stakeholders, enabling them to make informed decisions about energy consumption and resource allocation. By automating this process, businesses can reduce manual effort, minimize errors, and optimize their energy usage, leading to cost savings and reduced environmental impact.
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