Renewable Energy Monitoring Software We Provide

Custom development of renewable energy monitoring software

Svitla Systems delivers custom development of renewable energy monitoring software that tracks generation performance across solar, wind, and storage assets, using artificial intelligence to detect faults and predict maintenance needs, with expert engineering teams and flexible engagement models.

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Our approach to renewable energy monitoring software development

A monitoring system only earns asset managers’ trust if its performance calculations hold up against real-world weather and equipment conditions, so we treat expected-generation modeling and fault-detection accuracy as core architectural decisions. Every system we build gives asset owners and O&M teams a single, accurate, up-to-date view of production, performance, and equipment health across all sites.

Before writing code, we map your existing SCADA, inverter, and sensor data sources, so integration complexity and data latency requirements surface at the start, not mid-project.

Who we serve

Renewable asset owners and IPPs

You need to know when a site underperforms. We build performance ratio tracking that compares actual output against expected generation in near real time.

O&M providers

You’re responsible for uptime across client portfolios spanning multiple technologies. We build fault detection and predictive maintenance that flags issues before they become outages.

Multi-technology asset managers

You manage solar, wind, hydro, or storage assets that report through different systems. We build a single consolidated dashboard across all technologies and sites.

Challenges we address

A renewable asset only earns its return if it performs at or near its expected output and if problems are caught before they cause real production losses. Across multi-technology portfolios, that’s harder than it sounds. Here’s where it typically breaks down.

Undetected underperformance

A site producing below expected output can go unnoticed for weeks without a way to compare actual against expected generation. We build performance ratio tracking that flags underperformance in real time.

Slow fault detection

Equipment issues, such as a failing inverter or a string outage, are often found only during routine maintenance visits. We build automated fault detection that flags equipment issues in near real time.

Reactive maintenance

Repairs occur only after a failure, increasing downtime and lost production. We build predictive maintenance models that flag equipment likely to fail before it does.

Fragmented data across sites and technologies

Solar, wind, and storage assets often report through different systems with no consolidated view. We build a single portfolio-wide dashboard across all technologies and sites.

Our process at Svitla for renewable energy monitoring software development

STEP 1

Enrollment and program rules

Before any code is written, we walk through your SCADA, inverter, and sensor data sources at every site and across all technologies. This tells us whether you need full software outsourcing or a narrower engagement model.

STEP 2

Design dispatch and baseline logic

We turn those requirements into a project plan and technology stack sized to your portfolio’s complexity. We staff the project with engineers experienced in renewable energy and asset performance software.

STEP 3

Build, test, and go live

Our engineers build the solution in tracked, reviewed cycles. At every stage, we validate performance calculations and fault detection against real weather and equipment data. You get regular progress updates, so nothing surfaces as a surprise.

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Real-time production monitoring

Live tracking of energy generation across solar, wind, hydro, and storage assets.

Performance ratio and yield analysis

Comparison of actual generation against expected output based on weather and irradiance data.

AI-supported fault detection

Machine learning models that flag equipment issues, such as inverter faults or string outages, in near real time.

Predictive maintenance

Forecasting of likely equipment failures before they cause downtime.

Portfolio-wide dashboards

A consolidated view of production and performance across every site and technology.

SCADA and sensor integration

Direct connections to site-level control and monitoring systems for granular, real-time data.

Downtime and availability tracking

Reporting on equipment availability and the financial impact of downtime events.

Reports and dashboards

Production, performance, and maintenance reporting for asset owners and O&M teams.

Important integrations for renewable energy monitoring software

SCADA systems

For pulling site-level control and monitoring data from solar, wind, and hydro assets.
For confirming control commands were received and executed at the equipment level.
For flagging communication gaps between the SCADA layer and individual devices.
For time-aligning SCADA data with weather data used in performance calculations.

Inverter and turbine manufacturer platforms

For ingesting equipment-level production and diagnostic data.
For normalizing data formats across different equipment vendors in the same portfolio.
For pulling fault codes directly from the manufacturer’s diagnostic layer.
For tracking firmware versions that could affect performance or data reporting.

Weather and irradiance data providers

For calculating expected generation and performance ratios.
For adjusting expected-output models site-by-site based on local microclimate data.
For distinguishing weather-driven underperformance from an actual equipment issue.
For feeding forward-looking forecasts into short-term production planning.

Storage system controllers

For monitoring battery state of charge, cycling, and performance.
For tracking degradation trends that affect a battery’s usable capacity over time.
For flagging cycling patterns that could shorten a battery’s expected lifespan.

Maintenance management systems

For turning detected faults into work orders and tracking resolution.
For prioritizing work orders based on the financial impact of each fault.
For closing the loop between a fault flag and confirmed on-site resolution.

Reporting and BI tools

For distributing production, performance, and downtime data to asset owners and O&M teams.
For benchmarking sites against each other to spot chronic underperformers.
For tracking downtime causes over time to inform maintenance budgeting.

Is custom renewable energy monitoring software the best option for your needs?

Answer a few simple questions and find out whether you should opt for a custom solution or a pre-built monitoring platform.

1 / 10

Has a site underperformed for weeks before anyone noticed?

Do equipment issues usually get found only during a routine maintenance visit?

Does most of your maintenance happen only after a failure has already occurred?

Is your production data scattered across different systems for different technologies or sites?

Do you need the system to integrate with a specific SCADA or inverter monitoring platform?

Have you evaluated AI-based fault detection or predictive maintenance tools?

Do you manage a portfolio spanning more than one renewable technology?

Have you already tried an off-the-shelf monitoring platform that didn’t cover your equipment mix?

Do you expect your generation portfolio or site count to grow over the next 2–3 years?

Higher captured generation

Faster underperformance detection means less lost production over time.

Site-level performance ratios catch degradation trends before they compound.

Lower unplanned downtime

Predictive maintenance catches likely failures before they cause an outage.

Early warning gives O&M teams time to schedule repairs instead of reacting to them.

Reduced maintenance costs

Targeted, predictive maintenance is typically cheaper than reactive repairs after a failure.

Fewer emergency site visits lower both labor and logistics costs.

Better portfolio-wide visibility

A consolidated view across sites and technologies reduces blind spots that hide underperformance.

Cross-site benchmarking makes it easier to spot which assets need attention first.

Stronger asset valuation

Clean, well-documented performance history supports stronger asset valuations at sale or refinancing.

Consistent reporting builds investor confidence during due diligence.

Faster O&M response

Automated fault alerts shorten the time between an issue occurring and a technician being dispatched.

Prioritized alerts help O&M teams focus on the faults with the highest financial impact first.

Map your technology mix and data landscape

We catalog every SCADA, inverter, turbine, and sensor data source across your portfolio, as well as your current monitoring and maintenance workflows. This becomes a requirements document and a technology stack sized to your data volume and technology mix.
Design the performance model and plan the build

We define the expected-generation modeling approach, feature set, and integration points, then lock in scope, timeline, budget, and team structure before development starts.
Build and validate against real conditions

Our engineers build the solution in short, reviewed cycles. We test production data accuracy, fault detection, and predictive maintenance logic against real weather and equipment data, not synthetic test cases. Historical production, performance, and maintenance data gets migrated from legacy systems with validation at every step.
Integrate, train, and launch with support

We connect the system to your SCADA, inverter, turbine, and maintenance management systems, testing each integration against live data before go-live. We train asset management and O&M staff on the new workflows. After launch, we offer ongoing support and implement enhancements as your portfolio evolves.

Costs of custom renewable energy monitoring software development

Based on Svitla’s experience, the average cost of building a renewable energy monitoring software solution ranges from $100,000 to $700,000, depending on solution complexity.

Want to understand the cost of your renewable energy monitoring solution?

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Check our client success cases

SaaS Platform For Solar PV Provider

Project Type Web Development

Industry Energy

Discover how we upgraded a leading US manufacturer's SaaS platform for solar PV products, which operates across over 35 countries. Our team transitioned the platform to a serverless architecture with microservices, automated critical QA processes, and utilized advanced AWS cloud services.

Electricity IoT Platform

Project Type Big Data & Analytics, IoT

Industry Energy, Hi-Tech Devices

Learn how we enhanced the client's capabilities in electricity generation and distribution by developing a new IoT platform for comprehensive device management, implementing a solution for big data analytics with modern technologies, thus delivering a robust platform for real-time monitoring.

Energy Saving Solution

Project Type Web Development

Industry Energy

Learn how we overhauled a secure client portal for a solar energy company, modernizing its technology stack, implementing a fresh UI/UX, migrating to Microsoft Azure, and introducing a new billing system, thereby enhancing user satisfaction and streamlining operational efficiency.

Our Awards and Partnerships

Renewable energy monitoring software consulting

Technology mix and data source needs analysis.

Audit of the existing production monitoring and maintenance workflows (if any).

Recommendations on optimal feature set, performance modeling approach, and tech stack.

A plan of integrations with your SCADA, inverter, and maintenance management systems.

Implementation cost and time estimates, expected ROI calculation.

Renewable energy monitoring software engineering

Monitoring solution conceptualization and architecture design.

Custom development of production tracking, fault detection, and predictive maintenance functionality.

Integration with the necessary SCADA, inverter, and maintenance management systems.

Quality assurance and security testing.

Continuous support and evolution (if required).

Renewable energy monitoring software modernization

Audit of your current monitoring platform, SCADA setup, or manual tracking process.

A migration plan for historical production, performance, and maintenance data.

Integration upgrades to support new equipment vendors or technologies added to the portfolio.

A phased cutover that keeps monitoring running during the transition.

Post-migration validation against your prior performance and downtime records.

FAQ

What’s the difference between renewable energy monitoring software and energy analytics and reporting software?

Energy analytics and reporting software (elsewhere in this series) is scoped to the demand side: a company’s own energy consumption, cost, and sustainability reporting. Renewable energy monitoring software is scoped to the supply side: the performance of the generation assets themselves, such as solar, wind, hydro, or storage. Both can feed into a broader sustainability picture, but they track different things.

Can custom monitoring software really catch underperformance faster?

Yes. We build performance ratio tracking that compares actual generation against expected output based on weather and irradiance data, so underperformance shows up quickly instead of going unnoticed.

Can you integrate custom monitoring software with our existing SCADA or inverter systems?

Yes. Integration with your SCADA, inverter, turbine, and maintenance management systems is planned in the first project phase. We work with commonly used systems via their APIs and build custom connectors where standard ones don’t exist.

When does custom monitoring software make more sense than an off-the-shelf platform?

Custom development pays off when your technology mix, hardware vendors, or integrations don’t fit a standard platform’s defaults, or when you need predictive maintenance capabilities packaged platforms don’t offer. If a pre-built platform covers your needs, we’ll tell you, and can help implement it instead.

How long does it take to develop renewable energy monitoring software?

The timeline depends on the technology mix, feature scope, and integrations involved. We typically deliver in phases, starting with a working core (production monitoring and basic alerting), so you see value before the full rollout.

Do you provide ongoing support after launch?

Yes. We offer post-launch support and enhancement engagements: monitoring, maintenance, and the implementation of new features as your portfolio and business requirements evolve.

See exactly how every asset in your portfolio is performing, before it costs you production

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