System and method for proactive handling of multiple faults and failure modes in an electrical network of energy assets

A non-transitory computer-readable medium comprising executable instructions, the executable instructions being executable by one or more processors to perform a method, the method comprising:

• receiving sensor data of a first time period, the sensor data from one or more first sensors of a renewable energy asset;
• identifying log data in one or more log sources, the log data indicating one or more faults in the renewable energy asset, the one or more log sources storing log data of the renewable energy asset;
• retrieving dates of the identified log data that indicates the one or more faults;
• retrieving sequences of sensor data using the dates of the identified log data;
• applying one or more trained Markov models to the sequences of sensor data to assesses one or more likelihoods of the one or more faults and create a prediction of a future fault in the renewable energy asset, the one or more trained Markov models being previously trained on sensor data of a second time period, the sensor data of the second time period from one or more second sensors of the renewable energy assets;
• generating a report including the prediction of the future fault in the renewable energy asset;
• and
• controlling the renewable energy asset based on the prediction of the future fault in the renewable energy asset.