In an increasingly carbon footprint-conscious and decarbonization-focused world, energy efficiency has become a fundamental pillar in construction and building planning. In this context, centralization is key to optimizing energy and achieving maximum efficiency. Centralization in buildings not only involves unified management of systems such as HVAC, lighting, security, and energy monitoring, but also enables more precise and efficient control, resulting in significant economic and energy savings. As experts in deploying comprehensive solutions for energy management and optimization in buildings, Edison Next leads this transition through the implementation of cutting-edge technology that allows it to collect detailed data on energy performance and building conditions. This provides valuable information for proper decision-making and identifying areas for improvement. In this regard, the company has ETL (Extract, Transform, Load) Niagara, a critical methodology developed on the Niagara building automation platform, which enables data collection and analysis for more efficient energy and facility management. With this new process, Edison Next collects, models, and centralizes data, allowing efficient exploitation of systems. How does it work? The ETL Niagara environment has different phases, including:

• • Extraction: In this phase, data is extracted from multiple building automation systems (BMS), such as temperature sensors, lighting systems, equipment statuses, etc. To massively extract data from the Niagara environment, the energy company has developed its own module within Niagara that enables efficient and automated export of large volumes of data.

• • Transformation: In this phase, the extracted data is processed and analyzed for later use. This process involves removing duplicate data, correcting formatting errors, and eliminating inconsistent and invalid values.

• • Loading: Finally, in this phase, the transformed data is automatically loaded into the cloud data repository.

What benefits does the ETL Niagara process provide?

• • Historical data collection and broad coverage: Extracting data and centralizing it in a standardized cloud repository provides a long-term view of data, where capacity is no longer considered a limitation.

• • Unified data view: The ETL process facilitates cross-sectional data analysis, as well as consistency and management of the dataset from each client's intelligent building system.

• • Automation of the entire process: As well as monitoring its operation to have all detailed and complete information available.

An intelligent centralization system allows adaptation to the building's needs. This flexibility is crucial for achieving energy efficiency and climate neutrality, as it prevents resource waste. Therefore, Edison Next has cutting-edge technology that allows it to use IoT to provide 360º services. Currently, the energy specialist manages over 1,000 buildings with IoT technology and helps more than 40 cities reduce their energy consumption and achieve the green transition. In this way, it reaffirms its commitment to providing services with high quality standards and innovative solutions that drive safety and efficiency.