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Discover 5 Top Predictive Analytics Solutions impacting Utilities

Curious about new technological advancements in the utility sector? Explore our analysis of 812 global startups & scaleups and learn how their predictive analytics solutions impact utilities!

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 predictive analytics solutions impacting utilities.

Out of 812, the Global Startup Heat Map highlights 5 Top Predictive Analytics Solutions impacting Utilities

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 812 exemplary startups & scaleups we analyzed for this research. Further, it highlights 5 startups 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 807 predictive analytics solutions for utilities, get in touch.

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Ketos offers a Water Intelligence Platform

The aging infrastructure of the water distribution facilities requires comprehensive inspection and management. However, the current inspection solutions are ill-equipped to manage system breakdown proactively, leading to increased downtime of the water grid. On the other hand, integrating sensors to monitor water grids enables proactive monitoring and control of the water distribution system. Therefore, startups are developing predictive analytics solutions to optimize water distribution.

US-based startup Ketos provides an integrated water intelligence platform. The platform uses predictive analytics through bi-directional connectivity infrastructure for water monitoring and testing automation. The solution is integrable with the existing supervisory control and data acquisition (SCADA) systems as well. Further, it provides municipal, agriculture, and industrial operators with historical trends and real-time data, as well as enables predictive maintenance.

Birds.ai offers Smart Solar Field Maintenance

Conventional solar plant maintenance requires technician visits to each set of panels and check for possible defects. This method is slow, expensive, and inefficient as defects are overlooked. However, introducing artificial intelligence (AI) and predictive analytics-based imaging aid operators to identify defects remotely and efficiently. As a result, startups are developing AI-based smart solutions for solar field maintenance.

Dutch startup Birds.ai enables smart solar field maintenance. It uses predictive analytics, artificial intelligence, and machine learning (ML) to collect RGB and thermal images of solar plants. The solution identifies internal and external defects as well as annotates defects with a digital twin of the solar field. This provides solar asset owners with predictive intelligence regarding plant maintenance.

Xpanse AI automates Energy Price Forecasting

Forecasting energy generation and demand are challenging as more renewable sources are being added to the grid continuously. The presently used forecasting methods are lengthy due to the time taken to clean and organize the gathered data. Automating predictive models enables energy utilities to optimize power generation. To this end, startups are developing solutions to automate energy forecasting mechanisms.

Irish startup Xpanse AI offers an eponymous, automated data science platform that facilitates the use of predictive analytics in the energy sector. It creates predictive models from raw non-aggregated data. For energy utilities, the platform provides different energy forecasting targets based on weather signals, past demand informatics, and pricing to analyze available solutions. This allows operators to effectively plan electricity generation to meet demands and reduce unexpected surges.

APX10 enables Wastewater Infrastructure Optimization

Presently, wastewater infrastructure and treatment plants face challenges of overflow and hydrogen sulfide build-up that corrode components and disrupt wastewater treatment operations. Predictive analytics enables condition assessment and enables utilities to optimize planning. This is why startups are using artificial intelligence to improve wastewater utility management.

Danish startup APX10 provides a predictive analytics platform for wastewater infrastructure optimization. The startup’s solution, data|APX, is a cloud-based platform that collects and integrates data from water and wastewater supplies, public data sources, and a range of real-time sensors. The system then uses artificial intelligence for predictive condition assessment and failure analysis. This enables water utilities to optimize their infrastructural reinvestment strategy.

Webtunix enables Oil and Gas Production Optimization

Machine failure in the oil and gas (O&G) industry leads to increased downtime. The present system of periodic overhauling is insufficient as the situation in each oil field is different. Installing sensors on the field to gather data enables better visibility into machine conditions. Therefore, startups are developing sensor-enabled predictive analytics solutions to minimize machine downtime and increase operational efficiency.

US-based startup Webtunix facilitates production optimization in the O&G sector. The startup’s solution collects data such as drilling logs, production data, maintenance records from sensors on the field. The system then combines physical data modeling with predictive analytics to forecast machinery and equipment failure. This aids in the identification of optimal operational plans to make the process cost-effective.

Discover more Utility startups

Utility startups such as the examples highlighted in this report focus on demand-side management, predictive maintenance as well as digital management. While all of these technologies play a major role in advancing utility management, they only represent the tip of the iceberg. To explore more technologies for 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.

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