Solar monitoring
Generation, availability, PR/CUF, inverter performance and loss analysis.
Solar monitoring →
AI-powered renewable energy operations software
The AI control room for renewable assets.
Monitor solar, wind and battery storage portfolios, understand generation losses, coordinate maintenance and track corrective actions from one platform. Bring operations data and field execution into one workflow.
Built for IPPs, asset owners and O&M teams managing complex renewable portfolios.
nxtGrid AI · Portfolio watch
Illustrative example · synthetic data
Solar Site 14 · 50 MWpSample day · 15:40
3 issues found · 2,460 kWh lost today · 1 fix verified
Expected MWActual MWGeneration gap
-
- Cause
- Probable blown SCB fuse on strings 7–9; current dropped to zero at 11:10
- Energy effect
- ≈1,840 kWh today
- Assignee
- Field team, Block B
- Work order
- WO-2318 · In progress
- Evidence
- Photo of fuse holder, string current readings
- Verification
- Pending: confirm string current restored
-
- Cause
- Soiling loss 6.2% against a 3% threshold
- Energy effect
- ≈620 kWh today
- Assignee
- Cleaning contractor
- Work order
- WO-2321 · Scheduled, tomorrow 06:00
- Evidence
- Before and after photos
- Verification
- Pending: compare PR on the next clear-sky day
-
- Cause
- Data logger lost its link from 09:20 to 10:05
- Energy effect
- None; the inverter kept generating
- Assignee
- SCADA team
- Work order
- WO-2314 · Closed
- Evidence
- Logger restart log
- Verification
- Verified: data flow restored, no generation impact
Select an alarm to see its cause, owner, work order and verification. All data is synthetic.
Experience and live platform
10 GW+portfolio experience
300+sites
5 GWplive on nxtGrid
99.2%plant availability across the live portfolio
Loss calculator
What could avoidable generation losses mean for your portfolio?
Estimate the annual commercial value associated with a chosen percentage of energy loss. This is an illustrative scenario, not a forecast of savings or a guaranteed outcome. Adjust capacity, utilisation, tariff and loss assumptions to fit your portfolio.
Asset class
Solar: enter CUF on the same basis as capacity. Indian utility-scale solar typically runs around 22–26% on MWac and 18–21% on MWp.
Illustrative annual revenue associated with the assumed energy loss
₹4.73 Cr
from 15.8 GWh of affected energy a year
1,051 GWhreference energy / yr
₹39.4 Lper month
₹95 Kper MW per year
How it is calculated
Reference energy (MWh) = MW × 8,760 × CUF
Affected energy (MWh) = reference energy × loss %
Revenue associated = affected energy × 1,000 × tariff per kWh
Not all of this is recoverable; a demo looks at what applies to your sites.
Reference energy (MWh) = MW × 8,760 × CUF
Affected energy (MWh) = reference energy × loss %
Revenue associated = affected energy × 1,000 × tariff per kWh
Not all of this is recoverable; a demo looks at what applies to your sites.
The operational problem
Your plants create data. Your teams need decisions.
Alarms, historian exports, maintenance trackers and monthly reports rarely tell the same story. nxtGrid brings plant performance, asset health and field work into a common operational view, so teams can identify priority issues and follow them through to resolution.
What we bring together
Monitoring, maintenance and analytics on one platform.
Wind monitoring
Turbine availability, alarms, operating trends and power-curve deviations.
Wind monitoring →Battery storage monitoring
SoC, SoH, efficiency, rack health and dispatch performance.
BESS monitoring →Maintenance management
Preventive plans, work orders, spares, vendor coordination and field evidence.
CMMS & field operations →AI-assisted analytics
Natural-language questions, prioritised investigations and clearer asset-performance explanations.
AI analytics →Hybrid plants
One operational picture for sites that combine solar, wind and storage.
Hybrid plants →
nxtGrid AI
Ask your portfolio anything.
nxtGrid AI answers in plain English from your plant data, so asset managers get an answer in seconds instead of waiting for an analyst to build a spreadsheet. Conversations are saved, so you can pick up where you left off.
- “Why is PR low at this site today?” with the loss broken down by cause
- “Which inverters lost the most generation this week?”
- “When is the next preventive maintenance due at this plant?”
- Answers show the readings and records behind them, for operators to review
nxtGrid AIIllustrative example · synthetic data
Why is PR down at Solar Site 14 this week?
PR is 74.1% against 78.6% expected. Three causes explain 91% of the gap:
INV-07 has an open work order with the field team, due today. Block C cleaning has been moved up to tomorrow morning.
Which inverters lost the most this week?Next PM due at Site 14?Draft today’s DGR
Ask about any plant, turbine or battery…
How it works
From anomaly to verified corrective action.
Detect. Expected-versus-actual comparisons, alarms and data gaps are reviewed across sites, so material deviations appear in one queue instead of in separate tools. See solar monitoring →
Diagnose. Alarm history, operating trends and past maintenance on the same equipment sit alongside the deviation, so teams start the investigation with context. See AI analytics →
Dispatch. The issue becomes a work order with an owner, a priority and a due date, for in-house crews or contractors. See CMMS & field operations →
Verify. Closure evidence such as photos and readings is reviewed together with performance after the intervention, before the issue is closed. See how closure works →
Individual automation features depend on configuration, integrations and purchased modules.
Integration
Keep your existing plant systems. Add a common operating layer.
nxtGrid is designed to work alongside site monitoring and business systems. Bring operational data and maintenance workflows together without assuming every plant needs to replace its existing infrastructure. Integration scope is confirmed during technical discovery.
Site systemsData you already haveAccessed with your permission.
SCADAOEMBMSData loggersMeters
IngestIngestion and normalisationTimestamps, units and asset hierarchy aligned.
AnalyseMonitoring and analyticsPerformance, losses and exceptions.
ActMaintenance workflowsOwners, priorities, evidence.
ReportReportingDaily and periodic reports.
Diagram shows data flow for monitoring and workflows. It does not imply certified protocols or direct plant control; integration scope is confirmed during technical discovery.
Who it is for
Built for the people accountable for plant performance.
Independent power producers
One portfolio view across sites and teams.
Asset managers
Transparent performance and loss prioritisation.
O&M leaders
Structured maintenance action and evidence.
Management teams
Consistent reporting and clearer accountability.
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.