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Energy Data Platforms & Analytics

Stop managing spreadsheets. Start managing performance with one trusted data foundation. A governed energy data platform that unifies OT/IT data and turns it into decision-grade analytics.

Without a single source of truth, every decision is a debate

Energy assets generate data across SCADA, meters, weather feeds, maintenance systems, and market sources but most organizations can’t trust or align it. Teams spend time reconciling numbers instead of improving outcomes. MetRenew designs energy data platforms that standardize ingestion, cleansing, governance, and KPI logic so performance, availability, and loss drivers are consistently measured across sites and portfolios. The result is faster root-cause analysis, more credible reporting, and analytics that directly support operations, planning, and investment decisions.

Our Solutions

OT/IT Data Integration (SCADA, meters, CMMS, weather, market)

We integrate multi-source data into a unified model SCADA/EMS, revenue meters, inverter/BESS telemetry, work orders, weather, and market signals. Clean pipelines reduce manual effort and enable consistent analytics across assets, sites, and portfolios.

We design an architecture that supports high-frequency time-series data and governed business reporting so you can scale from a single plant to a fleet. The outcome is a resilient platform that handles volume, latency, and traceability without fragility.

We implement validation rules, anomaly checks, and governance for KPI definitions availability, curtailment, PR, loss trees, degradation, and energy accounting. This reduces “multiple versions of the truth” and makes reporting audit-ready and decision-grade.

We build analytics that identify the real drivers of underperformance curtailment, clipping, soiling, equipment faults, downtime classes, and control issues. Teams move from symptom tracking to actionable root-cause insights and prioritized interventions.

Analytics only matter when they drive action. We set up role-based reporting, alert logic, and operating cadence weekly performance reviews, incident triage, and management summaries so the platform becomes a performance discipline, not a dashboard project.

Use Cases & Outcomes

Conflicting KPIs across teams and vendors

Operations, EPC, and OEM reports don’t match. Outcome: governed KPI definitions and validation so performance numbers align, disputes reduce, and decisions move faster.

Portfolio performance is visible, but root cause isn’t

Leaders see underperformance but can’t pinpoint drivers. Outcome: loss-tree analytics that quantify where energy is lost and which fixes deliver the highest impact.

High manual effort to produce monthly reports

Teams spend days assembling data for investors and management. Outcome: automated pipelines and standardized reporting that cut manual effort and improve credibility.

OT data exists, but isn’t usable for decisions

SCADA data is fragmented and hard to trust. Outcome: a unified time-series foundation that supports faster incident analysis, performance optimization, and future AI use cases.

Why Metrenew

Energy-first data modeling

We don’t build generic data platforms. We model around energy realities SCADA time-series, meters, curtailment logic, loss trees, and performance guarantees so analytics match how assets actually operate.

Governed truth, not dashboard noise

Validation, lineage, and KPI governance are built in so outputs are defensible for owners, lenders, and internal stakeholders.

Execution that connects OT to outcomes

We bridge operations and analytics: ingestion → KPI logic → review cadence → action tracking. The platform drives measurable performance improvement, not just visibility.

Build the data foundation your performance depends on

Frequently Asked Questions

It’s a governed system that ingests and standardizes energy data from OT/IT sources (SCADA, meters, CMMS, weather, market) and delivers consistent KPIs, analytics, and reporting across sites and portfolios.

Dashboards visualize data. A platform governs it pipelines, validation, data models, KPI logic, and lineage. Without that foundation, dashboards become arguments, not decisions.

Typically SCADA/EMS, revenue and check meters, inverter/BESS telemetry, weather feeds, CMMS/work orders, asset registers, and market/settlement data depending on your operating model and access rights.

Through validation rules, anomaly detection, gap handling, and clear definitions for exclusions and assumptions. The goal is traceability knowing what is measured, what is estimated, and why.

Yes. A governed platform strengthens availability accounting, downtime classification, and evidence trails making performance and claims workflows more defensible.

No. SCADA remains the control and monitoring layer. The data platform standardizes and analyzes SCADA outputs alongside other systems to produce consistent KPIs and actionable insights.

AI requires clean, reliable, well-labeled data. A strong platform creates the foundation standardized telemetry, event labels, and consistent performance metrics so AI initiatives don’t fail due to data readiness gaps.

Not necessarily. We can design around your preferred stack or existing tools. The core value is architecture, governance, KPI logic, and operating cadence so the system works reliably at scale.

Let’s Connect

Talk to Our Team

Whether you’re evaluating a new project, strengthening feasibility, preparing for EPC execution, or building ESG readiness, we’ll help you clarify the next steps and structure the path forward with measurable delivery milestones.

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