Stephen Coltart’s Post

Itron, Inc.'s Grid Edge Intelligence strategy reinforces our focus on #Data and intelligence to create a more resourceful world. Our new solutions, like the Active Transformer Load and Voltage Monitoring (ATLM/ATVM) applications, enable #Utilities to: - Prevent outages caused by EV charging overload - Extend the life of transformers - Optimize grid performance for rising energy demands Learn more about the recent announcements and transformative changes happening for Itron:

Itron, Inc.'s Grid Edge Intelligence strategy reinforces our focus on #Data and intelligence to create a more resourceful world. Our new solutions, like the Active Transformer Load and Voltage Monitoring (ATLM/ATVM) applications, enable #Utilities to: - Prevent outages caused by EV charging overload - Extend the life of transformers - Optimize grid performance for rising energy demands Learn more about the recent announcements and transformative changes happening for Itron:

Itron, Inc.'s Grid Edge Intelligence strategy reinforces our focus on #Data and intelligence to create a more resourceful world. Our new solutions, like the Active Transformer Load and Voltage Monitoring (ATLM/ATVM) applications, enable #Utilities to: - Prevent outages caused by EV charging overload - Extend the life of transformers - Optimize grid performance for rising energy demands Learn more about the recent announcements and transformative changes happening for Itron:

Smart energy company GridBeyond successfully calls #4CP periods in ERCOT GridBeyond’s model and machine learning has successfully #forecast 4CP periods in ERCOT with fewer dispatches than the industry benchmark delivering great savings for Texas businesses during the summer months. In the ERCOT market demand charges are managed through the Four Coincident Peak (4CP) program. Demand in Texas typically peaks during summer months due to heat waves and increased air conditioning use, which strains the electricity grid. GridBeyond’s platform is trained to recognize the behaviors of weather, congestion, demand patterns, supply expectations etc, providing accurate predictions on when businesses should reduce energy consumption to generate cost savings. https://lnkd.in/eqMS45kH #peakenergymanagement #smartenergymanagement #energystrategy #energytransition #savings #revenues #ai

Electrical power grids have recently embraced digital transformation, driven by the pursuit of net-zero carbon emissions. This evolution has turned legacy utility networks into smart grids, aiming to enhance energy management through real-time data collection and analysis. Read ELE Times' recent story at https://lnkd.in/gWaTarrd #powerelectricals #Smartgrid #technology

Siemens Energy is setting new standards in industrial automation! Check out why they chose #InfluxDB and how it plays a critical role in the foundation of their systems! #TimeSeries #IIoT #PredictiveMaintenance

The Big Picture: Smart Grids Imagine a vast, intelligent web of power plants, transmission lines, and consumers, all constantly talking to each other. This is the essence of a smart grid, a modernized electricity network that leverages two-way digital communication across its entire infrastructure. Sensors throughout the grid gather data on everything from power generation and transmission to individual consumer usage, providing a real-time picture of grid health. Sophisticated software analyzes this data and automatically adjusts power flow to optimize efficiency, reduce losses, and integrate variable renewable sources like solar and wind. This two-way communication empowers consumers with smart meters to track their energy use and potentially participate in programs that reduce consumption during peak hours, further enhancing grid reliability and sustainability. In essence, the smart grid transforms the traditional, one-way power delivery system into an intelligent network that is constantly learning, adapting, and optimizing itself. #smartgrid #microgrid #gridinterconnection #gridmodernization #renewableenergy #energymanagement #energyinvestment #energyrisk #energytransition #sustainability

Ever wondered how DC microgrids manage to stay ahead of the curve when it comes to maintenance and control? Let's take a closer look: ✅ Predictive maintenance: advanced analytics crunch data in real-time to forecast equipment failures well before than can occur. ✅ Enhanced control: behind the scenes, real-time monitoring and cutting-edge algorithms keep a close eye on every component, from inverters to energy storage systems - allowing you to stay one step ahead of potential issues. ✅ Real-time health checks: imagine every part of your microgrid getting a check-up on the fly. With real-time monitoring, there's no need to wait for problems to surface - you can catch them before there's even a chance of trouble. ✅ Sophisticated algorithms: these aren't your run-of-the-mill algorithms. They're high-tech programs that spot trouble and sound the alarm long before things go wrong. ✅ Proactive maintenance: early warnings mean proactive action. By addressing issues before they escalate, you're able to slash downtime and keep operations running. ✅ Uninterrupted power: say goodbye to unexpected shortages and hello to continuous operation. With predictive maintenance and enhanced control, downtime becomes a thing of the past. We've talked a lot about DC microgrids over the past couple of weeks but there's more - so stay tuned as we dive even deeper into these game-changing smart grids. In the meantime, you can read more about our DC microgrid solutions here: https://lnkd.in/edHPSb4M #Eddicy #UnlocktheFullDCPotential #SmartGrids

Siemens Energy uses InfluxDB to standardize predictive maintenance across automated battery and marine production lines, capturing high-frequency, high-resolution sensor data in real-time. ⚡️ This data powers its advanced monitoring systems, ensuring precision and reliability where it matters most. We love seeing companies leveraging the power of time series data—to not only enhance operational performance but also to innovate for a more sustainable future. 🌍 💙 #InfluxDB #PredictiveMaintenance #IIoT #TimeSeries

The rise of grid-edge technologies require more intelligent and automatic ways to manage the power demand on the grid. While this adds complexity to grid operations, it also provides an opportunity for utilities and end consumers alike: https://bit.ly/3YhHbgK