{
  "$type": "site.standard.document",
  "description": "A system, controller, and method for predictive control of energy management for a segmented load centre. The method including: determining a load prediction for a predetermined prediction timeframe, the load prediction using a machine learning model taking load conditions of the power flow data as…",
  "path": "/patents/1350184",
  "publishedAt": "2023-08-31T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "H02J3/32",
    "SPONGE MICROGRIDS INC."
  ],
  "textContent": "A system, controller, and method for predictive control of energy management for a segmented load centre. The method including: determining a load prediction for a predetermined prediction timeframe, the load prediction using a machine learning model taking load conditions of the power flow data as input features, the machine learning model trained using historical load conditions; determining a generation prediction for the predetermined prediction timeframe using a renewable generation model, the generation prediction using input features including solar radiation related weather data; determining an energy balance over the prediction timeframe using the load prediction and the generation prediction; modulating a minimum state of charge setpoint based on whether a current value of the setpoint results in curtailed generation in the determined energy balance over the prediction timeframe.",
  "title": "SYSTEM, CONTROLLER, AND METHOD FOR PREDICTIVE CONTROL OF ENERGY MANAGEMENT FOR A SEGMENTED LOAD CENTRE"
}