Predictive Analytics

Predictive Analytics - Apollo Energy Analytics

Predictive Analytics

Apollo’s patented Digital Twin, AI and ML powered platform uses pre-trained algorithms to identify the potential gain areas and troubleshoots the key areas of plant underperformance increasing the output by ~7%.

KEY FEATURES

Apollo™ energy analytics has a Patent on the Solar PV Digital Twin

The Digital Twin (DT) technology is an electrical replica of the Solar PV plant and for the current weather conditions - the DT generates the optimum Active power that the plant should generate for the given conditions. It does the same at disaggregated levels which means it starts at the Inverter level and adds it up, hence allowing you to know exactly which devices are not performing up to the mark.

Insights and opportunities

Track portfolio wide KPIs for solar and wind to get insight on ongoing performance & monitoring it easily to detect areas for optimization or underperformance with advanced analytics suite.

Loss Bucketing

Reveal the factors behind each segment of the Waterfall and unlock significant gains in the output of the Asset. Whether it is loss on account of repeat failures, soiling, efficiency issues, shading, clipping, power factor, unavailability, be the first one to know automatically.

Performance Reports

The Apollo performance reports enable high automation for Asset Owners by sending pre-configured reports to the relevant stakeholders as desired. Be it an Failure prediction alert or a performance summary we do all of it.

Alerts and anomalies

With customizable alerts and AI trained models, Apollo detects critical issues before you could raise your eyebrows. Our sophisticated predictive solar maintenance analytics models, based on AI, are designed to highlight possible Inverter or Transformer failures, anomalies, or deviations weeks in advance - making sure you are always in control and ahead.

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