Prediction and mitigation of electrical load spikes

A computer implemented method of managing electrical power loss in a data center, comprising:

• monitoring a plurality of telemetry parameters of the data center by a plurality of sensors, the plurality of telemetry parameters including at least one of:
• temperature, voltage, and current,
• wherein the data center includes a generator and a plurality of computational components;
• feeding the plurality of telemetry parameters into a machine learning model;
• generating by the machine learning model, a prediction of an imminent grid power loss and/or a generator startup event, wherein the grid power loss and/or the generator startup event is predicted to occur in the immediate future, wherein the immediate future comprises an interval about 1-30 seconds from a baseline timestamp associated with the plurality of telemetry parameters;
• and
• proactively triggering an energy dispatch prior to the occurrence of the predicted grid power loss and/or startup of the generator by sending a command to trigger an energy buffer to bridge a power gap predicted to occur during the generator startup, for stabilizing a power transition to the generator and/or for preventing collapse of the generator from a sudden high load above a threshold tolerated by the generator,
• wherein the energy buffer is selected from:
• a flywheel, a supercapacitor, and a battery-inverter system (BESS).

A computer implemented method of managing temperature in a data center, comprising:

• monitoring a plurality of telemetry parameters of the data center by a plurality of sensors, the plurality of telemetry parameters including at least one of:
• temperature, voltage, and current,
• wherein the data center includes a plurality of computational components;
• feeding the plurality of telemetry parameters into a machine learning model;
• generating by the machine learning model, a prediction of an imminent electrical load associated with a prediction of a corresponding increase in temperature of the computational components above a temperature threshold indicating a tolerated temperature, wherein the increase in temperature above the temperature predicted to occur in the immediate future, wherein the immediate future comprises an interval about 1-30 seconds from a baseline timestamp associated with the plurality of telemetry parameters;
• and
• sending a trigger command to trigger at least one cooling element before the temperature increases above the temperature threshold for preventing overheating of the computational components and/or for maintaining stable thermal conditions in the data center.