Today’s electrical distribution systems continue to evolve as new smart devices are added to the network. With each installation comes the capability to better monitor and report important data related to energy usage, outages and changes in demand. This mass influx of raw data has led to a major void that must be addressed—data is currently being generated exponentially faster than it can be analyzed. To fill this void, utility companies often find themselves in search of software solutions to help break down data from sensors and smart devices to find value hidden in a sea of raw data.
SAP Smart Grid and smart meter analytics software Insight provides utilities with advanced analytic capabilities to meet their business needs and create a stronger connection to the machines that power the grid. It applies proven analytics to make sense of big data collected from intelligent machines to better predict, manage, model and forecast potential problems that a utility’s electrical grid may face. The software strategically monitors influential data—such as electrical usage, grid performance and weather history—creating an interconnected “ecosystem” of people and machines to better equip utilities with the information and tools needed to optimize their electrical distribution systems. Utilities can then apply the information and knowledge gained through advanced analytics and visualization to ensure a more efficient and reliable energy supply to their end users.
SAP Smart Grid and smart meter analytics software Insight provides utilities with advanced analytic capabilities to meet their business needs and create a stronger connection to the machines that power the grid. It applies proven analytics to make sense of big data collected from intelligent machines to better predict, manage, model and forecast potential problems that a utility’s electrical grid may face. The software strategically monitors influential data—such as electrical usage, grid performance and weather history—creating an interconnected “ecosystem” of people and machines to better equip utilities with the information and tools needed to optimize their electrical distribution systems. Utilities can then apply the information and knowledge gained through advanced analytics and visualization to ensure a more efficient and reliable energy supply to their end users.
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