python source file

When batteries supply behind-the-meter services such as arbitrage or peak load management, an optimal controller can be designed to minimize the total electric bill. The limitations of the batteries, such as on voltage or state-of-charge, are represented in the model used to forecast the system's state dynamics. Control model inaccuracy can lead to an optimistic shortfall, where the achievable schedule will be costlier than the schedule derived using the model.

  • Smart Grid
  • Last Updated On: 
    Fri, 10/04/2019 - 17:42

    This is the code and data for IS-RNN validation and research

  • Computational Intelligence
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34