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Solar power generation prediction

  • Predictive analysis
  • Energy

Challenge

Because of high environmental uncertainties such as climate change, photovoltaic power generation is volatile. For this reason, predicting photovoltaic power generation is very challenging but at the same time critical for domestic power supply planning.

Approach

Using time-series analysis with historical climate data, hourly power generation of each photovoltaic power plant during 24 hours is predicted. Climate data from various sources are incorporated to improve prediction accuracy.

Results

Earnings from power transactions can be maximized by utilizing prediction of power generation per hour basis, and stable eco-friendly power supply can be ensured.

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EV Li+ Battery​ RUL Prediction

Battery management system data and EV operation patterns can be analyzed to predict battery life remaining and monitor their lifecycles.

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Li+ Battery ESS​ Anomaly Detection ​

ESS anomaly detection models are designed to predict and monitor anomalies before a fire occurs and provide safety indicators.

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