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Building on ES/Analyzer’s functionality, ES/Optimizer derives the optimal operation schedule for an energy storage system under real-time control – while using the same optimization framework and algorithm as ES/Analyzer. ES/Optimizer also leverages a neural network to forecast load, evaluate the forecast alongside real-time data, and uses this information to guide the dispatch operation of the energy storage system. With this advanced forecasting technique and the end-to-end algorithm structure, the ESWare suite keeps simulation and operation closely linked and accurately schedules the operation of the energy storage system.