Discover 5 Top Machine Learning Solutions impacting Utility Companies

Staying ahead of the technology curve means strengthening your competitive advantage. That is why we give you data-driven innovation insights into the utility sector. This time, you get to discover 5 hand-picked machine learning startups.

Global Startup Heat Map highlights 5 Top Machine Learning Startups impacting Utility Companies out of 473

The insights of this data-driven analysis are derived from the Big Data & Artificial Intelligence-powered StartUs Insights Discovery Platform, covering 2.093.000+ startups & scaleups globally. The platform gives you an exhaustive overview of emerging technologies & relevant startups within a specific field in just a few clicks.

The Global Startup Heat Map below reveals the distribution of the 473 exemplary startups & scaleups we analyzed for this research. Further, it highlights 5 startups offering machine learning solutions for utility companies that we hand-picked based on criteria such as founding year, location, funding raised, and more. You get to explore the solutions of these 5 startups & scaleups in this report. For insights on the other 468 machine learning solutions for utility companies, get in touch.

Orb offers a Microbiological Water Testing System

Regulatory diagnostic methods for water testing only deliver a pass or fail result, leaving systems with no preemptive actionable intelligence. On the other hand, deploying machine learning (ML) algorithms in detection and testing systems returns predictive intelligence regarding bacteria or viruses. Therefore, startups are developing ML-based microbiology testing systems.

US-based startup Orb provides a real-time microbiology testing system to advance water quality management. The solution combines machine learning and real-time autofluorescence detection using a photon-based spectral analyzer, deployable as a hand-held or inline monitoring device. The system detects viruses and bacteria in water and measures parameters such as total cell counts and threshold breach prediction. Among other use cases, this facilitates water treatment optimization as well as recycle and reuse for both commercial and industrial water management.

measurable.energy provides a Demand Response System

In recent years, the power consumption habits of electric utility customers have changed. Moreover, thanks to an increase in the number of electrical equipment, it is necessary to manage electricity consumption more effectively. Therefore, startups are developing ML-based demand response systems to manage differential electricity consumption habits. Such demand response solutions allow electric utility companies to efficiently supply electricity and schedule maintenance based on requirements.

British startup measurable.energy develops m.e. Virtual Load, a demand-side response (DSR) system. The m.e Platform provides analytics and automated control through machine learning algorithms with m.e Virtual Load, thus, providing opportunities to lower power costs and balance electrical grids. The system learns the energy behavior of each building, in turn, accounting for wasted energy. This enables grid balancing and efficient energy planning for providers.

Vigti builds a Gas Pipeline Monitoring System

Gas distribution pipelines are susceptible to corrosion and water ingress, resulting in safety threats to families living in such neighborhoods. The current practice of using acoustic signals to detect gas leaks is inefficient as it does not provide real-time data for operators to take preventive measures. To overcome this, startups are developing a machine learning-powered wide-area monitoring system for gas networks.

Singapore-based startup Vigti provides a wide-area monitoring system for gas distribution pipeline networks. The startup’s solution uses ML algorithms to identify anomalies such as leaks, bursts, and water ingress as well as their accurate locations. The sensor-agnostic solution is also scalable to any network and fluid type. The system constantly provides data about flow rate, pressure, and vibration to identify anomalies. This allows gas distribution networks to make system maintenance more efficient.

Neuroflux develops Water Management Software

Currently, downstream wastewater treatment equipment fails due to the build-up of large solids, hairs, and fibers in the pipes. This leads to the accumulation of waste and blocks pipes, thereby, disrupting the discharge system. Real-time monitoring of the wastewater pipelines optimizes wastewater management and avoids disruptions. To this end, startups are developing machine-learning-based wastewater management solutions.

Finnish startup Neuroflux provides water management software. The solution uses ML to combine, visualize, and analyze wastewater pumping station data to detect pipe blockages and leaks. The solution also facilitates the automatic detection of anomalies, such as infiltration and inflow, to manage risks. Further, the system prompts real-time alarms and trend analyses to optimize wastewater network operations.

TowerPower works on Hybrid Energy Solutions for Telecom Towers

The Levelized Cost Of Electricity (LCOE) for telecommunication companies remains high primarily due to the use of diesel to fuel the towers. However, implementing renewable energy sources to power communication towers reduces financial strain and also ensures reliable telecom services. Therefore, startups are developing hybrid energy solutions for telecom towers.

US-based startup TowerPower provides managed hybrid energy solutions for telecom towers. The startup’s solution uses the internet of things (IoT)-based software for energy management. The startup replaces diesel power-based telecom towers with hybrid systems that combine traditional energy sources with solar photovoltaics (PV), storage, and software. The solution uses ML from the tower’s performance history, weather, and more, to improve energy flow as well as maintenance and replacement schedules.

Discover more Startups for Utility Companies

Machine learning startups such as the examples highlighted in this report focus on optimizing the flow of gas and water, building hybrid energy solutions, as well as managing demand response. While all of these technologies play a major role in advancing utilities, they only represent the tip of the iceberg. To explore more technologies impacting utility companies, simply get in touch to let us look into your areas of interest. For a more general overview, you can download one of our free Industry Innovation Reports to save your time and improve strategic decision-making.