Frequently Asked Questions

LineVision uses proven physics-based modeling (computational fluid dynamics)—not just machine learning or basic weather forecasts—to deliver more accurate ratings that account for how terrain, vegetation, and structures actually affect wind flow around power lines. This enables rapid system-wide DLR implementation that identifies limiting sections, customizes to each utility's risk profile, and pinpoints upgrade opportunities. We also identify critical areas that require sensors to enhance accuracy and enable situational awareness by directly measuring wind and providing sag measurements. 

As the leading US DLR provider, LineVision delivers 100% domestically-domiciled grid intelligence with complete American ownership and control. We manufacture BABA-compliant sensors in the United States, process all data on domestic servers, and maintain a complete American supply chain—ensuring zero foreign access to critical infrastructure intelligence. Unlike vendors that sell software and walk away, our dedicated US-based utility experts actively collaborate with customers to deliver proven results while protecting the grid infrastructure millions of Americans depend on.

LineVision is a grid-enhancing technology company dedicated to helping utilities deliver affordable, reliable power and accelerate electrification of the global economy. We envision an intelligent, dynamic grid that continuously delivers the lowest-cost, reliable power to businesses and communities around the world.

Leading operators across North America and Europe, including well-known IOUs and ISOs like AES, Exelon, DLC, National Grid, and NV Energy work with LineVision to increase their grid reliability and resilience, optimize their assets, and inform capital decisions. Learn More

LineVision has global deployments, with U.S. offices in Boston, MA and Boulder, CO.

Reach out via the contact form, media inquiries, or Careers page for open roles.

DLR uses advanced wind forecasting enhanced with a computational fluid dynamics (CFD) model to continuously calculate the actual thermal capacity of a transmission line and update the rating in real-time. This enables grid operators to use actionable data to assess power flow, reduce congestion, and avoid overloading the transmission lines, which can cause power outages and other problems. Sensors are used on critical lines, using optical and environmental sensing to validate wind and conductor position. Learn More

CFD simulates airflow physics at high resolution (30 meters) to capture how terrain, vegetation, and structures affect wind patterns. This reveals the microscale wind effects that determine conductor cooling but are invisible to standard 3-kilometer resolution weather forecasts and machine learning methods.

LineVision uses sensors to provide field validation of wind and its effects on conductors. Field validation via sensor on critical lines protects and corrects for issues such as model inaccuracies and missing/incorrect conductor data. Incorporating multiple, distinct datasets validates LineVision’s ratings model and enables more accurate, higher confidence ratings. Learn More

LineVision sensors have a lifespan of over 10 years with no maintenance required. LineVision sensors have no moving parts and are designed for autonomous long-term operation in transmission environments.

Not every line or span needs to be monitored by sensors. LineVision’s CFD-powered DLR can cover an entire network and provide safe, accurate ratings. Sensors are used for additional validation and maximum accuracy in critical areas. Sensors can be added according to utility needs to address assets of concern, highly congested lines, unique topography/vegetation, or situational awareness needs.Learn More

Yes. Tower mounting makes sensors easy to remove and reinstall at new locations without complex procedures or additional outages.

LineVision sensors are powered by solar panels with a lithium-iron phosphate battery backup providing 5+ days of operation.

LineVision sensors communicate via encrypted LTE with optional satellite backup for remote locations. Our data transmission architecture is designed to avoid a direct sensor-to-EMS connection.

Hardware requirements are dependent on project scope and complexity; however, one sensor per 2-3 miles on critical lines is a reasonable estimate. Learn More

DLR tower-mounted sensors are designed with redundancy, secure communications, and fail-safe protocols to ensure reliability. In the event of a sensor failure or communications issue, the model will continue to produce dynamic line ratings. Sensors are primarily used to train and refine DLR, so the ratings are still operational even if sensors are not available. Learn More

Yes. The key factors that determine line capacity - ambient temperature, wind speed, solar heating, and conductor properties - are the same for AC and DC lines, making DLR equally valuable for maximizing the capacity of both transmission technologies. Other clamp-on sensors may not work with DC lines.

LineVision guarantees 99.5% DLR uptime and uses IP-66/67 certified hardware built under ISO 9001 standards. Our sensors don’t require line loading to function. All equipment is covered by a 100% maintenance and hardware warranty for the life of the contract. Learn More

LineVision’s DLR system is designed to integrate securely and flexibly with SCADA or EMS environments. Instead of sending raw sensor data directly to the EMS, LineVision uses its analytics platform to process and validate sensor, weather, and topology data, then trains a model that predicts dynamic ratings. This model is packaged into LineVision’s Line Ratings Engine, which utilities can deploy within their own high-security SCADA or corporate environments. This approach gives Transmission Owners full control over security, supports NERC CIP compliance, and eliminates direct sensor-to-EMS connections while still providing accurate, real-time ratings. Learn More

Yes. From our earliest days, LineVision has worked in partnership with clients to design a solution that is secure and NERC CIP compliant. Having previously integrated DLR into utility EMS systems with multiple partners, LineVision offers multiple options for operationalization based on the Transmission Owner’s specific security needs. 

Regardless of their approach, utilities have control over the operation of LineVision’s Line Ratings Engine and can apply the security controls that they deem appropriate. With no external sensor data in the operational data flow, Transmission Owners have a straightforward pathway for completely avoiding sensor risk and for supporting compliance with NERC CIP requirements. Learn More

Situational awareness means having continuous, real-time visibility into the right-of-way (ROW) and transmission infrastructure, with intelligent sensing and anomaly detection. It combines hyper-local weather monitoring, AI-driven visual inspection, and rapid alerts on issues like ROW intrusions, equipment damage, conductor motion, and vegetation risks. This enables operators to act quickly, prioritize restoration, and improve safety without waiting for manual inspections.

Situational awareness gives utilities continuous, real-time visibility into transmission lines and rights-of-way (ROW), enabling instant detection of anomalies, weather risks, and unauthorized activity. Intelligent sensing, hyper-local forecasts, and AI-driven visual monitoring help operators spot threats like ice, wind, vegetation contact, and equipment damage before they escalate. This rapid actionable data improves safety for crews, speeds restoration after storms, and ensures more reliable grid operations.

Severe weather (conductor galloping, clashing, vegetation contact, high winds), winter conditions (icing risk and detection, and general extreme weather events affecting transmission operations.

LineVision’s real-time situational awareness relies on continuous visual monitoring of transmission lines and rights-of-way (ROW), intelligent sensor measurements, and AI-driven anomaly detection. This includes real-time data on ice, wind, conductor motion, vegetation changes, and asset damage, as well as hyper-local weather forecasts scaled to conductor height. Combined, these data streams give operators actionable data that detects risks and responds before they impact reliability or safety.

Conductor sag anomalies, structural movement, vegetation threats, equipment failures, unauthorized right-of-way activities, personnel detection, and general ROW changes. Computer vision algorithms analyze hundreds of images per sensor daily.

LineVision’s situational awareness platform allows operators to use continuous visual monitoring, intelligent sensors, and AI-driven anomaly detection to spot risks in real time. Data on ice, wind, conductor motion, vegetation changes, and asset damage, combined with hyper-local weather forecasts, allows for early detection of abnormal conditions. This enables crews to act before issues escalate, improving response times and proactively controlling outages.

LineVision’s sensing technology provides continuous field intelligence with 24/7 AI-powered camera inspection, right-of-way (ROW) weather stations, and hyper-local wind forecasts at 30-meter resolution. LineVision’s situational awareness can detect potential ignition sources before they occur like conductor clashing, downed lines, tower impact, and vegetation changes. LineVision’s hyperlocal wind modeling and measurement can provide utilities a better view of how their right-of-ways will be impacted by wind events and real-time wind readings to assess risk. LineVision’s sensors can also monitor particulates in the air. 

Real-time situational awareness is enabled by LineVision’s comprehensive field intelligence, which includes 24/7 camera inspection with AI anomaly detection, right-of-way (ROW) weather stations, and topology-enhanced wind forecasts at 30-meter resolution. Additional technologies include tower and conductor monitoring, object detection for trespassers, large vehicles, and vegetation, as well as icing and conductor motion detection. These tools provide hyper-accurate actionable data on risks, faster fault triage, on-demand asset imagery, and remote visual inspections.

Non-contact monitoring plays a key role in situational awareness by giving utilities a clear view of line and right-of-way conditions without touching the conductor or interrupting service. Sensors mounted on transmission towers use cameras, weather stations, accelerometers, particulate monitors, and GPS to track conductor position, tower movement, and environmental risks. 

‍

LineVision’s next-generation sensing technology continuously monitors conductors and the surrounding right of way using cameras, weather stations, accelerometers, particulate monitors, and GPS. On-board computing processes this data in real time to identify clearance risks, conductor sag, or encroachments.

When an issue is detected, the sensor automatically generates an alert and delivers it to operators through the NexusIQ portal. 

DLR offers a critical solution to help utilities gain flexibility to predict and respond to threats to reliability and resilience, optimize capacity to reduce congestion and bridge to longer-term solutions, and make data-driven investment decisions - balancing growth with customer affordability and regulatory needs.

There is no faster or more cost-effective way to deliver capacity than optimizing existing infrastructure. In many cases, DLR can defer or eliminate the need for costly new lines and non-contact DLR solutions do not require outages, offering benefit in days-to-weeks, not months-to-years. 

Deploying DLR can help de-risk traditional transmission upgrades or projects before, during, and after construction. Before projects are developed, DLR can alleviate congestion and help with the integration of load or new generation. During construction, DLR can reduce the impacts of outages or help avoid them entirely. After construction, DLR can optimize the utilization of new lines and mitigate unanticipated consequences such as unintended congestion of underlying lower voltage lines.

Dynamic Line Rating (DLR) improves grid reliability and resilience by unlocking real-time, situational awareness of transmission line capacity. Unlike static ratings, which assume conservative conditions, DLR adjusts based on actual environmental factors like wind and temperature and often reveals significantly more available capacity or identifies operational risk.

By continuously monitoring and analyzing line performance, DLR helps grid operators safely push more power through existing lines during critical times, such as extreme weather events or unexpected outages. This added flexibility minimizes outages, ensures reliability during high loading events, and helps utilities prepare for adverse field conditions.

There is an entire page dedicated to LineVision’s real-world DLR deployments, with featured case studies, testimonials, and videos: Learn More

DLR typically delivers a very fast return on investment because it uses existing infrastructure instead of building new lines. Most utilities see payback in less than a year, and in some cases, even faster. For example, LineVision’s work with National Grid UK is saving $40M annually in constraint costs. These kinds of benefits make DLR one of the quickest and most cost-effective grid enhancements available. Learn More

By leveraging existing assets first, DLR reduces congestion costs and defers capital spend, helping lower costs for customers.

DLR is a proven, widely deployed technology that helps utilities safely optimize transmission capacity on existing lines. Using real-time data like wind, temperature, and conductor sag, it gives operators the flexibility to manage peak demand and improve grid reliability. Utilities using LineVision’s platform have already seen measurable gains in capacity optimization and cost savings, showing that DLR is not experimental, but a practical solution for today’s grid challenges.

Yes. FERC has taken steps to encourage more accurate and flexible line ratings. In 2021, Order No. 881 required transmission providers to use ambient-adjusted ratings based on real-time temperatures, paving the way for advanced methods like DLR. Since then, FERC has sought industry input on the benefits and challenges of DLR and even outlined a potential framework for future requirements that could include factors like wind and solar heating in transmission line ratings. These efforts show a strong federal interest in expanding DLR adoption.

FERC Order 881 takes a big step toward modernizing how transmission capacity is rated and creates clear opportunities for DLR. While it requires utilities to use ambient-adjusted ratings based on real-time temperatures, it also supports DLR for even more accurate ratings. The order requires systems that can update line ratings every hour and ensures RTOs and ISOs accept DLR from any transmission owner that uses it. FERC has also opened a proceeding to explore broader DLR adoption, showing it views DLR as a practical way to improve grid efficiency and reliability.

DLR can magnify the cost-effectiveness and capabilities provided by new transmission investments. They provide short-term solutions to temporary operational challenges, such as during transmission outages or the construction of new lines, and bridge gaps until permanent expansion solutions can be put in place. DLR enhances transmission investments, rather than eliminating them.

Each contract includes turnkey installation, software updates, and a 100% hardware and maintenance warranty throughout the service term. 

DLR can be deployed in months (often faster), while reconductoring or new lines can take years, accelerating benefits and reducing interim constraints.

LineVision provides the best customer support in the industry. LineVision’s expert team of data scientists, transmission engineers, strategists, and logistics team provides comprehensive capacity assessments, circuit prioritization analysis, and customized ROI calculations to design a fit-for-purpose grid intelligence solution. LineVision provides a dedicated customer success team with proven integration experience, 24/7 operational support, and regular performance reviews.

Where needed on critical lines, LineVision installs its DLR sensors quickly and safely on transmission towers in minutes, eliminating the need for outages during installation.

LineVision’s non-contact sensors are tower-mounted. This allows for installation without the risk of de-energizing lines or requiring outages.

Non-contact sensors eliminate risk and reduce the complexity of installation. Installing equipment on energized conductors has inherent personnel and operational risks that could result in outages, live line work, or lengthy delays. If a conductor-mounted sensor fails, it can rotate or slide down the conductor, causing damage. Removal is not possible with drones and creates a complicated operational decision. 

LineVision does not use drones to install sensors. Our sensors mount universally to any tower using simple hand tools. While drones can install sensors on conductors, they can do so in a narrow window of near-perfect conditions. FAA clearances, BVLOS regulations, wind, weather, and utility rules can mean a drone install gets replaced with helicopters, hot sticks, or outages. 

LineVision’s NERC CIP-compliant DLR is designed with cybersecurity as a priority, giving utilities full control over data security protocols. Utilities maintain complete control over the operation of the LineVision Line Ratings Engine and can apply whatever security controls they determine are appropriate for their specific requirements. Importantly, with no external sensor data required in the operational data flow, Transmission Owners have a straightforward pathway for completely avoiding sensor-related cybersecurity risks while still benefiting from dynamic line ratings. This architecture also provides clear support for compliance with NERC CIP requirements, as utilities can implement DLR without introducing external data dependencies that might complicate their cybersecurity frameworks.

While DLR can be deployed on individual lines, a network-wide approach is most effective, because “spot-checking” may miss other problem areas. LineVision’s preferred methodology is to do a system-wide analysis powered by hyper-local weather data and computational fluid dynamics (CFD), identify congested or high-traffic areas, and recommend strategic sensor deployments at those critical points to correct bias, enhance, and validate the CFD model.  

No, utilities typically do not need to upgrade existing systems to support DLR. LineVision offers flexible integration options that work with current utility infrastructure and control systems. The DLR data can be integrated through various methods and is NERC CIP compliant. LineVision has experience integrating with multiple utility partners and can adapt to work with existing operational systems.

LineVision works with leading grid operators globally, including National Grid UK + US, AES, Xcel Energy, and Duke Energy. Learn More

Dynamic Line Rating (DLR) is not a direct replacement for grid upgrades but fits in as a complementary solution that can allow for the deferral of upgrades, reduced outage impact, or more targeted deployment of capital, such as targeted reconductoring. View our case study with AES to learn more

All three are Grid Enhancing Technologies that increase transmission reliability and flexibility without building new lines, but they work differently. LineVision’s DLR uses advanced CFD-based wind modeling and machine learning, which are enhanced via hyperlocal sensor installations on critical lines, providing data to operators for better grid visibility and flexibility. Topology optimization reconfigures the grid by opening or closing lines to redirect power around congested areas. Power flow control devices actively manage electricity flow to redistribute power to less congested paths. These technologies complement each other and can be combined for greater benefits.

Dynamic Line Ratings are one of several complementary Grid-Enhancing Technologies, alongside tools like advanced power flow control and topology optimization, that work together to optimize the capacity of existing transmission. While DLR provides advanced wind modeling and machine learning, as well as enhanced via hyperlocal sensor installations on critical lines, to provide data to operators for better grid visibility and flexibility, other GETs can reroute power and optimize network configuration, creating a coordinated approach that reduces congestion, integrates more sources of energy, and improves grid reliability without needing new construction.

Most positions are based in our offices in Boston, MA and Boulder, CO. Some roles are hybrid or fully remote depending on job requirements.

At LineVision there’s no such thing as a "perfect" candidate. We are looking for exceptional people who want to make a positive impact through their work and facilitate an organization where everyone can thrive. So whatever background you bring with you, please apply if this role would make you excited to come to work every day.

Candidates usually go through a short screening, technical or role-specific interview, and team fit conversation, with clear and timely communication throughout.

Employees enjoy career development programs, cross-functional collaboration, and mentorship, with chances to influence emerging grid technologies.

LineVision offers competitive compensation, equity, 401(k) matching, health coverage, generous PTO, and flexible schedules that support work-life balance.

Visit the Careers page to view open roles and submit an application directly through the company’s job portal.