Natural-language exploration
Ask questions such as “Which sites are underperforming this week?” or “What changed before this inverter stopped producing?” where the configured assistant and data permissions support the query.
AI analytics for renewable energy
Ask better questions of your plant data.
Bring performance signals, alarms and operational context together to help asset teams investigate exceptions and prioritise decisions.
nxtGrid AIIllustrative example · synthetic data
Which sites are underperforming this week?
Two sites are more than 3 points below expected PR.
At Site 14, inverter INV-07 downtime explains most of the gap. Source: inverter status and string currents, 11:10–15:40. A work order is open.
Capabilities
How AI supports your operators
Context instead of isolated alerts
Correlate available generation, status, alarms and asset history to support investigation of possible causes.
Prioritise the queue
Rank or filter exceptions by configurable operational severity, duration and estimated energy or commercial impact.
Keep an auditable trail
Make relevant source readings, assumptions, work orders or reports accessible from explanations wherever implemented.
Human oversight
AI-generated findings support operators. They are not a guarantee of root cause, savings, safety or autonomous corrective control.
FAQ
Frequently asked questions
Does AI make control decisions automatically?
Not by default. Control, work-order automation and approvals must match the actual deployed module and customer governance.
Are outputs always correct?
No. Insights depend on the underlying data and models and should be reviewed by qualified operators.
Related
Keep exploring
Book a demo
See how nxtGrid could fit your operating model.
Tell us the size of your portfolio, the technologies you operate and the tools you use today. We will map the workflows, integrations and product modules relevant to your sites.