Energy & Utilities
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All Energy & Utilities AI Use Cases
Accelerate data integration from multiple sourcesAssess building damage from weather or natural disasters with drones and satellite delivered imageryAssess environmental health status and bio-diversity of natural sitesAutomate aircraft pilotingAutomate background checking for potential employeesAutomate building systems to reduce energy costs through AI powered adaptive temperature and energy controlAutomate control decisions in control room environments to reduce cost and human errorAutomate image labelling of components to support complicated infrastructure managementAutomate preparation of data for inclusion in analytics platformCapture 3rd party or internal data for price comparison and supplier relationship overviewCreate maps from satellite and other remote imageryDeploy robots to replace human staffDetect potentially dangerous electrical current surgesDigitise analogue meter reading through computer visionEnsure inventory availability by predicting demand and triggering appropriate actionExamine ground composition to reduce required volume of exploratory drilling for samplesIdentify and source potential candidates in the marketIdentify individual''s activity likely to result in accidentsIdentify potential fraud from utility consumersIdentify with satellite imagery areas of need for targeted supportOptimise blend and process timing for raw material inputs to refining and similar processesOptimise complex manufacturing process in real time eg determine where to dedicate resources to reduce bottlenecks and cycle timeOptimise energy scheduling and management of power plants based on energy pricing, weather and other real time dataOptimise extraction plans based on data including drilling samples and performance at historic and comparable sitesOptimise mobile job schedulingOptimise performance and positioning of wind turbinesOptimise pricing and promotional targeting to energy customersOptimise routing of mobile staffOptimise supply chainOptimise supply chain including logistics, procurement timing and inventory distribution across warehouses and storesOptimise treatment of processed materials to enable reuse and to reduce environmental impactPilot and resupply drone independentlyPredict and support mitigation of unplanned downtimePredict commodity price patterns based on satellite (or similar visual) dataPredict commodity requirementsPredict energy demand trends based on data sources ranging from sensors to social mediaPredict maintenance requirementsPredict optimal location and specification in construction for power generation equipmentPredict problems and recommend proactive maintenance for fixed equipment such as substations or electricity pylonsPredict problems and recommend proactive maintenance for mining, drilling and support equipmentPredict problems and recommend proactive maintenance for power generation and supporting equipmentSmart home devices manage consumer energy expenditureSupport employee HR questions through chatbot text functionality
Energy & Utilities Case Studies
A large european integrated electric power company is predicting, diagnosing and reducing equipment failures in conventional power plants with machine learningAustralian Renewable Energy Agency improved accuracy of solar energy predictions by 31% using machine learning methods based on a distributed networkBP reduces methane emissions by 74% and increases production volume by 20% by optimising oilfield well valve functions with AI modellingBaltimore Gas and Electric generated $2.8 million in economic benefit from identifying fraud and unbilled energy usage with machine learningBonanza Creek Energy avoids production shutdown and fines by anticipating when certain emissions are going to occur using a machine learning systemDeepMind increases value of wind power by 20% by predicting supply 36 hours in advanceEDF Energy is testing automatic recognition of the figures on meter readings achieving 79% accuracyEDF Energy matches physical components of nuclear power stations with digital instruction manuals using deep learningEDF Energy wishes to monitor power station conditions in real time and predict maintenance requirements using machine learningEnedis reduces high-tension electrical grid outage with predictive maintenance using supervised learningEnel Green Power North America and Raptor Maps streamline solar facilities’ faults detection using machine learningEnel improved the average energy recovered per non-technical loss inspection by 70% in Italy and more than 300% in Spain using machine learningEnel is reducing operational and capital expenses by predicting maintenance and improving asset performance using machine learningExxonMobil plans to automate hydrocarbon discovery by developing deepwater exploration robots in partnership with MITGazprom Neft to optimise drilling and well completion with the use of artificial intelligenceGeneral Electric has saved $80 million over the past few years by integrating supplier data across business units using machine learningLoka enhances HR responsiveness to employee questions and improves awareness of policies and benefits through internal chatbotsMIT Department of Mechanical Engineering developed smart power outlets that distinguish dangerous electrical from benign spikes with 99.95% accuracy with machine learningNational Grid is testing machine learning to automate assessment of electrical grid infrastructure using dronesOrbital Insight identifies 4x more crude oil tanks in China than the official number by analysing satellite imageryOrigin achieved 80% accuracy in identifying low production wells and $50M in savings using machine learning applications from C3 IoTRepsol plans partnership with Google Cloud to use machine learning to optimise crude oil refinery managementRice University researchers improve on the state-of-the-art for wind turbine icing detection with a CNNSGN leverages ClickSoftware''s AI powered solution for mobile workforce optimisationSaxnas Hydroplant increased profits by 35% after using machine vision to digitise a legacy pumping plantSchneider Electric expands its potential candidate database to 275m and identifies candidates matching jobs using machine learningSchneider Electric saves €8 million by optimising its supply chain using machine learningScientists produce the largest photogrammetric map of one of the best studied gas hydrate deposits with the use of autonomous underwater vehicles and unsupervised learningShell pilots system that detects people smoking at gas stations with the use of image recognition and machine learningShell plans to automate information extraction from internal documents to collate answers to operational problems using Maana''s Knowledge PlatformShell predicts maintenance requirements for its equipment with the use of machine learningShell saves over a million dollars annually by doing inventory analysis 32 times faster using machine learningSiemens Gamesa Renewable Energy reduces inspection time of wind turbine blades by 75% by using non-destructive testingSinopec builds smart factories and supporting platform for manufacturing based on AIStanford University scientists identify 50% more solar installations than any previous survey with the use of deep learningUS Department of Energy remotely assesses rooftop potential for solar panels with 98% accuracy using Aurora Solar''s computer visionVerv identifies home electricity usage by appliance and monitors for unusual usage patterns using machine learningVerv plans to predict renewable energy generation and usage for its p2p marketplace using deep learningWasco water treatment plant pilot optimises treatment of 210K gallons of water a day for recycling using AI