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Smart Grid Solutions

The software you need to power micro-grids + real-time DERMS.

 
Rayven is world-leading technology that enables you to easily create and deliver real-time Smart Grid solutions fast and affordably, leaving you future-ready.

Our Smart Grid solutions enable you to maintain grid reliability + stability, predict maintenance needs, integrate DER, and much more, simply.

Smart Grid solutions offer a future for utilities, public sector, and large-scale industrial businesses to decarbonise, whilst reducing energy costs, ensuring security of supply, and shoring up infrastructure so it's future-ready.

Rayven's Smart Grid solutions can integrate data collected from sensors, third-party systems, and anywhere else; allowing you to easily visualise trends, explore Big Data sets, and utilise predictive analytics to guide real-time decision-making and real-world outcomes. Our innovative solutions are built on our world-leading integrated data, AI + IoT platform, which comes with inbuilt machine learning, automation, and AI capabilities; enabling you to create custom, complete solutions that fit your needs and site, perfectly.

Discover what you can achieve utilising data-driven insights and Industry 4.0 technology.

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Remote, real-time Grid Monitoring + Management.

Deploy sensors and AMI, easily integrate them with our central IoT platform to get accurate, real-time metrics on energy needs, grid stability, generation - anything - allowing you to make better decisions in the moment and analyse usage trends over time.

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Set thresholds, trigger alerts + take control.

Create custom thresholds and set up alerts that inform you of developing problems identified in real-time, as well as those found by the analysis of historical data sets. Create thresholds that trigger action and deliver  operational changes.

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Build interactive dashboards + drill into trends.

Build custom dashboards + reports to explore real-time and historical performance. Investigate the causes of data points, analyse different trends, and interrogate Big Data sets, simply.

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Add predictive analytics + forecast outcomes.

Our solutions enable you to utilise inbuilt machine learning analysis and predictive analytics with your own and third-party sources to extract data points and interpret broad data sets, before then using it to predict loads + needs.

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Fits all existing
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Our Smart Grid solutions integrate with any machinery, system, sensor, or data store - guaranteed. Use it as a centralised real-time data processing + visualisation platform or as middleware for your other systems.

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Monitor more: add weather, generation - anything.

Incorporate different in-field sensors and data sources to develop a complete, real-time view of operations + sites. Enhance the way you monitor and manage a range of services all-at-once.

Ask an Expert

Do you want to ask a question about Smart Grids + IoT? Book a demo? Or would you like to know how we can help you to create brilliant applications? Let's talk.

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How your Smart Grid solution is put together.

New and existing data, (both real-time and historical), alongside custom logic, thresholds, and predictive analytics is used to create your custom Smart Grid solution.

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Our solution can handle data from anywhere in any format, and at all levels:

Level 1 Data: Manual entry of data via custom forms built within our solutions.

Level 2 Data: Bespoke spreadsheet ingestion via FTP or manual uploads.

Level 3 Data: Integration of real-time data from OT / IT systems and corporate systems.

Level 4 Data: Real-time integration with in-field technologies, asset systems + in-field sensors.

Smart Grid solutions FAQs.


Question: What are Smart Grid solutions, and why are they important?

A smart grid is a modern energy system that uses advanced technologies to enhance the efficiency, reliability, and sustainability of electricity distribution. It incorporates IoT devices, such as sensors and smart meters, connected to IoT platforms to collect and analyse data in real-time, allowing for precise control over the flow of electricity. This means that energy can be distributed more efficiently and integrate with more renewable sources, whilst reducing waste, lowering costs, and improving maintenance regimes.

For businesses, the implementation of a smart grid solution can be a game-changer. By optimising energy consumption, companies can significantly cut their utility bills, leading to substantial cost savings over time. Additionally, smart grids support the integration of renewable energy sources like solar and wind power, which can further reduce energy costs, ensure stability and reliability of supply, and minimise a business's carbon footprint, aligning with growing environmental concerns and regulations.

Governments worldwide recognise the potential of smart grids in addressing the increasing energy demands of urbanisation while also tackling climate change. They play a crucial role in modernising the aging energy infrastructure and making it more resilient against natural disasters and cyber-attacks. Furthermore, smart grids provide a pathway for integrating more renewable energy sources into the national grid, the creation of microgrids that dismiss the need for large-scale infrastructure products, all whilst ultimately driving us closer to a sustainable, low-carbon energy future.

Question: What's involved in Smart Grid solutions?

Smart Grid solutions encompass a wide range of technologies and components that work together to enhance the efficiency and reliability of electricity distribution. Some key elements include:

  • Advanced Metering Infrastructure (AMI): This involves the installation of smart meters that provide real-time data on energy consumption, enabling consumers and utility companies to monitor and manage energy use more effectively.
  • Sensors + IoT devices: These are crucial for collecting data on various aspects of the electricity grid, such as voltage, current, and frequency. This information is used to optimise the flow of electricity and detect any faults or anomalies in the system.
  • Data transmission + integrations: Data collected infield needs to be transmitted wirelessly to a central IoT platform via wireless networks like LoRaWAN (Long Range), NB-IoT (Narrowband IoT), or regular Wi-Fi, fibre optic, and phone networks. Other data sources from business and operational systems, as well as third party software/technology, must be integrated to the IoT platform via traditional means, e.g. API, Modbus etc.
  • Real-time data analysis: IoT platforms analyse the data to generate real-time insights and allow constant remote monitoring. Patterns and trends can be identified and delivered to people via data visualisations and dashboards.
  • Mapping: Visualisation tools can provide real-time maps as well as predicted needs and future statuses based on historical data. These maps can be updated in real-time, allowing businesses and public administrators to make informed operational decisions.
  • Responsive actions + alerts: In advanced setups, the system can be integrated with communication systems and in-field assets to deliver instant, automated optimisations and operational changes.
  • Machine Learning + predictive analytics: Use an advanced platform's inbuilt capabilities to analyse multiple data sources, both real-time and historical data, to predict future needs. Use it to make better decisions both via human and AI.
  • Application: IoT platforms can support worker and public-facing apps and dashboards that deliver critical insights in real-time. These enable those responsible for monitoring and reporting on problematic areas to better manage sites, as well as supply necessary data to connected parties.

Question: How can a real-time Smart Grid solution help government organisations and industrial businesses?

A real-time Smart Grid solution acts as the backbone for a resilient, efficient, and sustainable energy infrastructure. For government entities and industrial enterprises, this not only translates to immediate operational benefits but also paves the way for future-ready, environmentally-conscious development:
  • Enhanced energy efficiency: Real-time data enables utilities and businesses to monitor and adjust their energy consumption patterns instantly. This means that energy is used more efficiently, reducing waste and decreasing operational costs.
  • Demand response management: By analysing real-time data, utilities can predict periods of high energy demand and incentivise consumers to reduce consumption during peak times. For industrial businesses, this could translate to financial savings via reduced peak demand charges.
  • Integration of renewable resources: Real-time monitoring ensures a seamless integration of renewable energy sources, like solar and wind. For governments, this accelerates the transition to sustainable energy. For industries, it presents opportunities for energy diversification, reducing dependency on traditional sources.
  • Operational resilience: With real-time monitoring, faults in the system can be detected instantly, enabling quicker response times. This enhances grid reliability, minimises downtimes, and ensures continuous operations, especially critical for industries with processes that can't afford interruptions.
  • Carbon emission reduction: Governments and industries face increasing pressure to reduce their carbon footprint. A real-time Smart Grid aids in tracking and managing emissions, enabling more informed decisions about energy use and infrastructure investments.
  • Cybersecurity + threat detection: Real-time solutions can promptly detect and mitigate cyber threats, ensuring the security of the grid. This is crucial as governments and industries are often primary targets for cyberattacks due to their scale and importance.
  • Strategic decision-making: For governments and industrial businesses, real-time data from Smart Grids provides a foundation for strategic planning. Whether it's for infrastructure investments, energy procurement, or policy formulations, the insights drawn from real-time data are invaluable.

Question: What are the key features to look for in a Smart Grid solution?

When purchasing or creating a Smart Grid solutions, it's crucial to look for:

  • Interoperability: The system should be compatible with all devices and protocols to facilitate seamless communication between different components of the grid.
  • Real-time data processing: Get immediate analysis and feedback on operational status, and be alerted instantly to problems both current and predicted.
  • Scalability: Ability to handle data from multiple sensors, assets and third-party systems spread across large areas. Expandability to accommodate growth in monitoring infrastructure and different sites - without blowing out costs.
  • Data analytics platform: Advanced tools for visualising trends and patterns. Predictive analytics for anticipating potential issues.
  • Geo-tagging + mapping: Precise location data and visualisation capabilities using maps for spatial understanding of deployments.
  • Security: Encryption and secure protocols to protect data integrity. Measures to prevent unauthorised access.
  • Alerting + notification system: Customisable thresholds for alerts. Multiple notification channels (email, SMS, app notifications).
  • Remote control, configuration + device management: Ability to adjust sensors and other machinery remotely. Over-the-air updates for firmware and software.
  • Cloud connectivity + storage: Data stored in a secure cloud environment. Easy access to historical data and trends.
  • User-friendly, fully-customisable interfaces: Intuitive dashboards and reporting tools, tailorable for different uses. Mobile access for on-the-go monitoring.

Your Smart Grid solutions will integrate with anything, including:

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Build custom, scalable integration, real-time data + IoT solutions.

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Discover the what, why, how, and where to start of delivering on the potential of integrated data, AI + IoT solutions: free, instantly.

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One of our data science, AI + IIoT specialists will contact you for a live one-on-one demonstration or to answer any questions.