C3 Energy’s family of utility-tested and proven products deliver end-to-end solutions across the entire smart grid, from energy generation, transmission, distribution, and advanced metering to the customer experience. C3 Energy’s Smart Grid Analytics solutions enable utility operators to realize the full economic, social, and environmental promise of the smart grid and modern energy systems. C3 Energy’s suite of analytics applications unlock up to $300 per meter in annual economic benefit for utility operators and energy consumers.

  1. Ensure the operational effectiveness of AMI and AMR networks
  2. Increase revenue due to the rapid resolution of malfunctioning smart meters
  3. Reduce maintenance costs through accurate identification, assessment, and prioritization of meter issues
  4. Increase customer satisfaction through improved diagnostic of problems with smart meters
  1. Pinpoint patterns in load profile and event data streams that identify revenue loss or maintenance and safety issues
  2. Detect non-technical loss, quantify the amount of revenue and energy loss at stake, and prioritize service points for investigation
  3. Act upon a single, continuously updating, and prioritized queue of leads
  4. Track and manage leads through the entire lifecycle of investigation, confirmation, and closure to identify trends and develop long-term revenue assurance plans
  1. Proactively assess real-time asset health, along with maintenance expense projections
  2. Analyze assets by class and configure asset risk scores at granular levels across the network hierarchy
  3. Identify high-risk assets before they fail to avoid emergency replace-on-failure decisions
  4. Evaluate the impact of high-risk assets and networks on critical customers, service reliability, and utility revenue goals
  1. Effectively evaluate capital investment alternatives and strategically assess competing priorities with enterprise-wide framework
  2. Rank grid investment portfolio alternatives based on cash flow analysis, impact to system, and customer reliability
  3. Access informed business cases built for asset replacement
  4. Reduce operations and maintenance (O&M) expenses and optimize capital expenditures from directing investments to circuits at greatest risk of outage
  1. Optimize plant operations with comprehensive metrics for performance monitoring and benchmarking to assess performance relative to peer group
  2. Enhance commercial operations with recommendations on short- and long-term energy and capacity bids and optimized dispatch to meet reliability must run (RMR) requirements
  3. Evaluate outage performance metrics and outage scheduling reports to support near real-time decision requirements
  4. Quantify potential impacts of outage scheduling on operations, maintenance, market/dispatch, and financials
  1. Base load forecasts on advanced machine learning techniques, including non-linear non-parametric techniques for time series prediction
  2. Predict load with computation at the meter and disaggregation to the appliance level, as opposed to substation or feeder level
  3. Refine and improve load forecast accuracy with customer-supplied information about appliances, energy use, and energy efficiency actions provided through C3 Energy Customer Analytics™
  1. Predict load from hourly to yearly timescales by analyzing patterns of energy use from individual meters up to large aggregations of customers, combined with external data such as weather, economics, and energy/ technology price trends
  2. Build analytical foundation for more efficient capital and operational planning
  3. Identify of high-risk areas of the grid to proactively target
  4. View robust customer analytics and segmentation
  5. Forecast loads for individual premises and appliances
  1. Pinpoint restoration priorities with greater speed and accuracy in near-real time
  2. View crew locations, status, and shortages
  3. Access valuable outage and restoration insights from investments made in AMI infrastructure
  4. Improve internal and external communication precision and delivery
  5. View continually updated restoration time and reliability metrics
  6. Learn, react, and prepare for storm and crisis situations through hour-by-hour playback
  1. Proactively identify and assess feeders through which voltage and reactive power can be reduced
  2. Visually identify voltage optimization opportunities based on dynamic display of inefficient feeders
  3. View customer analysis of the voltage optimization opportunities (e.g. customer segment, type, revenue, satisfaction)
  4. Assess estimated cost to implement and operational savings from reactive power and voltage reduction
  1. Monitor and visualize IT + OT network state and vulnerability / threat trends in real-time
  2. Diagnose cyber threat and root cause context for analysts and responders
  3. Prioritize recommendations based on energy delivery impact, reliability, customer service
  4. Diagnose and explore vulnerabilities with intuitive visualization tools
  5. View detailed displays of risk indices and contributing factors
  1. Provide relevant, actionable information to utility residential customers at the times that matter
  2. Enable residential customers to analyze their energy usage and costs, create a personalized energy-savings plan, and learn about program offerings
  3. Motivate customers to reduce their energy consumption through peer benchmarking and targeted energy-savings recommendations
  4. Communicate with customers through mobile, tablet, and desktop devices
  1. Allow SMB customers to better understand their energy use and costs, reduce energy consumption, receive custom energy savings recommendations, and enjoy rebates, incentives, and a range of other targeted offers
  2. Achieve energy program targets by increasing the number of customers participating in energy and demand-side management programs
  3. Improve customer satisfaction through access to detailed energy information, targeted customer engagement, and tailored energy savings and demand-side management recommendations
  4. Improve customer retention in competitive markets through increased customer satisfaction
  1. View in-depth large commercial and industrial customer energy profiles and analyze facility details and energy usage trends
  2. Create energy forecasts viewable at every level, from sub-meter to building to city to region
  3. Track, compare, and benchmark multiple facilities with a searchable catalog of facility details
  4. Optimize a portfolio of energy projects into an actionable plan

C3 Energy Management™

C3 Enterprise is part of C3 Energy Management, an integrated offering of energy management applications and services that transform energy asset lifecycle management. From benchmarking building performance to tracking sustainability goals, C3 Energy Management enables large enterprises, government agencies, and utilities to cost-effectively achieve environmental stewardship goals across their operations.

  1. Engage customers in less than five clicks to encourage customer self service and reduce call center volume
  2. Communicate details on bill drivers and different rates
  3. Deliver text or email alerts related to billing and usage, demand response, outage, or marketing applications
  4. Provide moving assistance to start, stop, or transfer service
  5. Give insights on service outage support for customers to view outages and planned service interruptions
  6. Enable customers to complete comparison of energy consumption to an average and efficient home or building
  1. Ensure higher return on marketing investment by marketing products and services that are targeted to the unique needs and attributes of each customer segment
  2. Move from large, broad-based, inefficient marketing programs to smaller, more agile, higher-yield campaigns
  3. Create and update product, service, and program offerings to ensure that the unique needs of customers are met
  4. Build compelling campaigns that quickly and easily deliver relevant, personalized, and time-sensitive communications to customers through their preferred communication channel: web, email, mobile, social networks, and print.
  5. Manage marketing assets, programs, and campaigns in one single, end-to-end marketing solution.
  1. Transparency of program progress and its energy savings calculations
  2. Defined Data Inputs & Data Cleansing: improved quality of data prior to EM&V analysis, correcting for issues such as missing data, zero data, and anomalous usage values
  3. Refined Algorithms: EM&V algorithms run to evaluate, measure, and verify the key success parameters
  4. Refined Control Groups: control groups created, and selection verified and compared
  5. Automated Results: results of program participation metrics including opt-in, opt-out, percentage of online users, average energy consumption per participant, average energy savings per participant, average savings rate per participant, and applicable T-statistics
  1. Track key operational metrics, e.g., costs against budget, operator utilization, interaction reasons and channel trends, customer satisfaction
  2. View detailed view of customer interaction sequences and trends, linked across service channels
  3. Identify root causes (reasons) for customer interactions and predicted best resolution paths
  4. Analyze of key patterns of interactions by demographic and customer service segment
  1. Determine probability of failure of drilling operations
  2. Pinpoint the root-cause of potential failure down to the specific rig equipment
  3. Find the optimum drilling settings by running near real-time analytics on drilling data signals (e.g., WOB, ROP, RPM, mud volume, cuttings)
  4. Send maintenance work orders directly to the workflow management system
  1. Develop optimal well placement plan to enable maximum EUR across an entire field to be developed
  2. Analyze recommended completion parameters, including perforation interval, proppant size, and fracturing fluid volume
  3. Predict well performance of various completion design and fracturing techniques
  4. Improve field development plans by incorporating the latest insights and completion data from recently completed wells
  1. Proactively assess real-time health of wells, quickly prioritizing wells that require intervention
  2. Understand the potential economic, safety, and environmental impact of an incident
  3. Pinpoint the root-cause of potential failure (e.g., tubing failure, plugging, casing hanger seal failure, annulus valve failure)
  4. Improve work planning by identifying and prioritizing wells that require intervention
  1. Optimize secondary production parameters across the entire field based on bottom-up, individual well analysis
  2. Build custom oilfield scenarios including the ability to adjust injection rates and lift rates on a per well basis
  3. Predict field-wide and individual well production performance
  4. Integrate intelligence into future field design plans to improve production rates, efficiency and safety
  1. Proactively assess real-time asset health, along with failure predictions, maintenance expense projections, and potential capital expenditures
  2. Understand the impact that a high-risk asset has on production, reliability, safety, and environmental goals
  3. Create maintenance work orders to quickly mitigate potential equipment issues
  4. Reduce capital expenditures by identifying at-risk equipment and flagging for inclusion in investment planning projects
  1. Evaluate capital investment alternatives and strategically assess competing priorities (e.g., asset risk scores, production rates, HSE impact)
  2. Rank investment portfolio alternatives based on different financial metrics (e.g., payback period, NPV, IRR, cash flow analysis)
  3. Aggregate multiple, detailed plans into higher-level capital plans
  4. Track and measure performance against plan, by comparing actual spend on projects to forecasted costs
  1. Quickly recognize instances of potential oil and gas loss due to leaks or theft
  2. Identify loss details and launch work orders directly from application
  3. Measure, validate, reconcile and report on oil and gas volume flows and inventories from production to transportation, storage, receipt, and delivery
  4. Increase the long-term accuracy of hydrocarbon loss with detection algorithms that leverage machine learning techniques
  1. Predict demand across the value chain by analyzing oil and gas consumption patterns with external data (e.g., weather, historical energy price trends)
  2. Evaluate margins on a per well basis and develop recommendations for production rates
  3. Forecast optimal production levels and product mixes for refineries to match fluctuating demand
  4. Analytical foundation for more efficient capital and operational planning
  1. Monitor and optimize refinery production units by aggregating data sources from across the refinery portfolio
  2. Increase production and reduce operating expenses as a result of increased visibility of control processes
  3. Continually adapt refinery unit production model with changing internal and external factors
  1. Aggregate financial, operating, and marketing data across portfolio of fuel stations
  2. Decrease operating costs by benchmarking fuel station performance
  3. Increase same store sales by developing marketing program recommendations
  1. Ensure higher return on marketing investment by promoting products and services that are targeted to the unique needs and attributes of each customer segment
  2. Move from large, broad-based, inefficient marketing programs to smaller, more agile, higher-yield campaigns
  3. Create and update product, service, and program offerings to ensure that the unique needs of customers are met
C3 Energy    Energy Management
C3 Energy    Energy Resource Management
C3 Energy    Monitor Mitigate Monetize
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