Performance+ Analytics

Analytics in Action

See what performance+ delivers

Real outputs from the performance+ digital twin. Each algorithm explores the asset’s full operational history to surface losses invisible to standard SCADA monitoring.

Soiling Loss Quantification — DC-side soiling analysis with daily degradation rates and cleaning event detection

What’s Included

APM vs performance+ Analytics

Every Bazefield customer gets core asset performance monitoring. performance+ adds certified analytical applications, data pipelines, and budget analytics that go far beyond standard KPIs.

Asset Performance Monitoring

Included in all Bazefield bundles

Real-time asset status and performance overview
Core KPIs — availability, capacity factor, performance ratio
Availability management (IEC, GADS, custom standards)
Basic lost energy and downtime breakdown
Curtailment and clipping detection
Event breakdown and alarm triage
Basic data quality monitoring
BI dashboards and reporting

Requires performance+ bundle

Everything in APM, plus…
Domain-certified ML analytics apps (wind, solar, BESS)
Non-deterministic loss quantification (soiling, icing, yaw, etc.)
Advanced data quality analytics and flagging
Budget vs actual waterfall analysis
Data Pipelines with Python orchestration
Parquet exports to cloud data warehouses
AI-powered analytics synthesis (with VeRO)

Analytics by Domain

Certified analytics for every asset class

Each domain has purpose-built analytical applications. Select a domain to see the full feature matrix — what’s included in APM versus what’s unlocked with performance+.

Capability	APM	performance+
Monitoring & KPIs
Fleet & site overview dashboards		Enhanced
Performance ratio (PR) & capacity factor		Enhanced
Availability management (IEC / custom)		Enhanced
Lost energy & downtime breakdown		Enhanced
Event breakdown & alarm triage		Enhanced
Curtailment & clipping detection		Enhanced
Data Quality
Data quality assessment		Enhanced
Non-Downtime Loss Analytics
Soiling loss quantification
Shading loss detection
Snow detection & loss estimation
Wind stow loss analysis
Thermal derating analysis
Tracker deviation detection
Inverter & DC Analytics
Inverter efficiency modelling
DC health & string-level loss analysis
Inverter physical model (irradiance → expected energy)
Full loss breakdown (energy waterfall)
Budget & Reporting
Budget vs actual waterfall analysis
Site readiness checks
Data Pipelines & Integration
Python orchestration scripts
Parquet export to cloud data warehouses

Capability	APM	performance+
Monitoring & KPIs
Fleet & site overview dashboards		Enhanced
Power curve visualization		Enhanced
Availability management (IEC / GADS / custom)		Enhanced
Lost energy & downtime breakdown		Enhanced
Event breakdown & alarm triage		Enhanced
Curtailment detection		Enhanced
Data Quality
Data quality assessment		Enhanced
Performance Analytics
Power curve fitting (5PL & 2D models)
Derate detection & quantification
Static & dynamic yaw misalignment analysis
Pitch & torque deviation analytics
Control changepoint detection
Underperformance root cause analysis
Environmental & Component Analytics
Icing detection & icing reference power curves
Key component temperature deviation analytics
Anemometer anomaly detection
Inter-turbine windspeed anomaly flagging
Weather distribution curve analysis
Remaining useful life estimation
Budget & Reporting
Budget vs actual waterfall analysis
Data Pipelines & Integration
Python orchestration scripts
Parquet export to cloud data warehouses

Capability	APM	performance+
Monitoring & KPIs
Fleet & site overview dashboards		Enhanced
State of Charge (SoC) monitoring		Enhanced
Availability management		Enhanced
Event breakdown & alarm triage		Enhanced
Energy throughput tracking		Enhanced
Data Quality
Data quality assessment		Enhanced
Battery Health & Degradation
Capacity estimation & degradation tracking
State of Charge estimation (analytics-grade)
Cycle count tracking & depth-of-discharge analysis
Cell temperature anomaly detection
Self-discharge rate analysis
Efficiency & Losses
PCS circuit loss quantification
Round-trip efficiency analytics
Auxiliary consumption analysis
Budget & Reporting
Budget vs actual waterfall analysis
Data Pipelines & Integration
Python orchestration scripts
Parquet export to cloud data warehouses

Hydro Analytics — Coming Soon

Hydro asset analytics are on the roadmap. We’re working with customers to define the most impactful use cases for hydroelectric performance monitoring and loss analysis. Interested in shaping the roadmap?

Data Pipelines

Python-powered orchestration

performance+ includes a full pipeline framework for running custom Python scripts against your Bazefield data. Build ML models, schedule ETL jobs, and automate analytical workflows.

Pipeline Manager

Configure, schedule, and monitor data processing pipelines through a visual interface. Chain scripts, set triggers, and track run history.

Python Scripting

Write custom scripts for ML, statistical analysis, and ETL. Access the full Bazefield data model programmatically with pre-built connectors and schema helpers.

Analytics Integrator

Export processed data in Parquet format to Snowflake, Databricks, AWS, Azure, or any cloud data warehouse for external analysis and reporting.

Budget Analytics

Budget vs actual — every loss, every gap

Import your P50/P90 budget data and let performance+ generate waterfall analyses that break down every deviation from expected production. See exactly where energy was lost and why.

Waterfall Analysis

Visual waterfall charts breaking actual vs budget into named loss categories — availability, curtailment, soiling, icing, derates, grid, and more.

Loss Attribution

Quantify each loss source in MWh and revenue terms. Attribute losses to the responsible party — OEM, grid operator, weather, or owner decisions.

Warranty & Contractual

Build evidence packages for warranty claims. Compare measured performance against OEM guarantees with statistically rigorous baselines.

Better Together

AI + Analytics — the multiplier effect

performance+ creates hundreds of new points and apps. VeRO makes them accessible. Together, they transform complex analytical outputs into plain-English insights anyone can act on.

VeRO synthesizes your analytics

Analytics generates a wealth of new data points — soiling rates, derate flags, capacity curves, loss breakdowns. That can be overwhelming. VeRO digests it all:

“Which inverters had the highest soiling losses last month?”
“Compare yaw misalignment across my wind fleet”
“What drove the gap between budget and actual at Site X?”
“Show me turbines with abnormal bearing temperatures”

AI generates analytical scripts

Need a custom pipeline? Describe what you want in plain English and VeRO generates the Python orchestration script for you:

Auto-generate data preparation and filtering scripts
Create custom statistical analyses from natural language
Build scheduled pipeline configurations via chat
Debug and iterate on analytics scripts conversationally

Deployment

Every architecture, every environment

Unlike cloud-only AI services, performance+ analytics run wherever your Bazefield instance lives. On-premise, cloud-hosted, or hybrid — your choice.

Bazefield Cloud

Fully managed in Azure. Zero infrastructure. Analytics pipelines and apps maintained by Bazefield.

Customer Cloud

Deploy in your own Azure, AWS, or GCP tenant. Full IT control with Bazefield support.

On-Premise

Run analytics on your own hardware. Air-gapped and OT-network compatible. No cloud dependency.

Asset Performance Monitoring