Use Case Design & Development
The Awesense Energy Transition Platform enables the design and development of Use Cases which target a wide range of electrical utility challenges. Bringing data together to solve these challenges requires different departments ranging from operational, business, and IT and can result in time-intensive and high-cost projects. The Awesense Energy Transition Platform will help you accelerate your time to value on budget and up to 20X faster than traditional methods.
What Is A Use Case?
A Use Case is a templated, digital solution that uses utility data to solve an industry problem by enabling data-driven business decisions to adapt effectively to an evolving energy grid.
Use Case Design
Designing An Application
Don’t have utility data yet? No problem! Waste zero time and start designing algorithms and analytics in the Awesense Sandbox Environment using realistic synthetic data while the utility data ingestion occurs on the Energy Transition Platform.
Developing An Application
After the data has been ingested, cleansed, synchronized & structured according to the Awesense Energy Data Model (EDM), it is ready for use in the Energy Transition Platform through APIs. The Use Case designed in the Sandbox Environment can be fine-tuned and further developed using actual data.
The finished Use Case can be combined with custom applications to draw business insights and modernize the energy grid to support the energy transition.
Get Started With The Energy Transition Platform.
Get Started With The Energy Transition Platform.
Awesense Use Case Library
- Asset Management
- Consumer Rates and Programs
- Data Quality Improvement
- Distributed Energy Resources (DERs)
- Electric Vehicles (EV)
- Grid Planning
- Multipurpose Data Analytics
- Non-Wires (NWA)
- Revenue Protection
- Situational Awareness and GridOps
- Worker Safety
[UC39] IPT and ICT Verification for Proper Billing
Use case for verification of proper billing in the presence of instrumental potential transformer and instrumental current transformer.
[UC38] Transformer Load Increase Assessment Tool
A use case to accurately assess load changes to avoid unnecessary costs, such as replacing transformers earlier than necessary.
[UC40] Phase Imbalance Correction Suggester
A tool for mitigating imbalanced feeders by suggesting locations of the grid and loads which can be reconnected (shifted) to different phase.
[UC43] Load Forecasting
A use case for accurate load forecasting for utilities to operate efficiently, ensure reliable power supply, and lower costs.
[UC42] Meter to Transformer Association Analysis
A use case for easy, fast and inexpensive meter-to-transformer association data verification and correction.
[UC41] EV Load Growth Forecasting
A use case for estimation of increased load from EV growth and grid locations identification where the impact of this load will be concerning.
[UC37] Detection of Meter Incorrect Wiring Connection
A use case for analytical approach to reveal incorrect meter wiring connection.
[UC36] Phase Identification Analysis
A use case to check and ensure that the phase identification data in the system of records is aligned with the actual field wiring.
[UC35] Standard Consumption Patterns Creation
Load profile estimation is used when real profile data are missing to obtain a realistic energy consumption profile. These load profiles have various uses, such as short-term analysis, grid load estimates, energy balances, and load flows.
[UC33] MV Grid Optimization Analysis
Optimizing the grid by reconnecting medium/low voltage stations to high/medium voltage stations is a cost-effective solution. Automation and data analysis are necessary for efficient optimization.
[UC32] Power Outage Visualization
Outages in electricity distribution have negative impacts on utilities and its customers. A data visualization approach that shows outages on a map and provides detailed information from multiple systems can help prioritize and quickly repair outages, leading to improved reliability and increased profits.
[UC31] Grid and Time Series Visualization
A use case to geospatially visualize grid asset data and grid’s time series data. Apply data-driven approach for addressing electricity distribution challenges with data visualization.
[UC30] Suspicious Patterns Identification & Analysis
Utilities can identify suspicious patterns in energy consumption profiles & investigate them further to determine non-technical losses.
[UC29] Non-Technical Loss Investigation Management
Creating a methodology for an effective loss reduction programme by implementing a system that performs multiple functions related to the management and performance of non-technical loss investigations.
[UC28] Energy Balancing for Revenue Protection
Using energy balancing to reduce losses so utilities can increase resources spent on grid modernization.
[UC25] Analysis for Maximizing Value of IoT and Meter Devices
A use case for maximizing the value of deploying smart meters and IoT devices in the grid and at consumption locations.
[UC23] Analysis of Grid Segments & Elements
It is vital to have the ability to systematically create and apply analytical models to distribution grid segments and individual elements.
[UC22] Topological Grid Segmentation
The creation of the segmentation based on simple attributes such as tariff or type of consumer is not sufficient for a grid operations-focused department. A systematic approach to the design of topological grid segmentation is required.
[UC21] Geospatial Analysis of Grid Alerts & Warnings
Analyzing grid alerts & warnings geo-spatially. This capability unlocks the possibilities for further producing insights from the data.
[UC20] Unexpected Generation Identification
Identification and analysis of micro-generation incidents and inputs on distribution grids.
[UC19] IoT Health Index & Overview
IoT devices can provide utility companies with essential data for the reliable operation of today’s and future grid. It is necessary to have a proper IoT health monitoring system to gain an overview of IoT health for maximum value.
[UC18] Grid Alerts & Warnings
Grid Alerts for greater asset situational awareness enabling the prevention of unnecessary damages or harmful influences in the grid.
[UC17] Actual vs. Contracted Grid Capacity Analysis
The grid’s maximum capacity is critical to utilities because it provides information on whether an additional load can be connected at a given location.
[UC16] Registered PV Generation Analysis
This growing penetration of distributed PV generation in the grids poses new challenges for utilities.
[UC15] Utility Data Challenge Hub
Data challenges call for submitting innovative solutions to real-world utility problems. Streamlining the data collection & aggregation process provides credibility to the utilities making the call for submissions and allowing them to attract higher-quality challenge participants resulting in optimized solutions.
[UC14] Onsite Generation & Ghost Load Analysis
Accurately forecasting the load, including the potential for ghost loads, is crucial for optimized grid management. Indicators of ghost loads, like total generation per circuit or % of the circuit’s load covered by renewables, are fundamental building blocks for correct load forecasting.
[UC13] Master Circuit Breaker Value vs. Measured Values Analysis
Inaccurate high-master circuit breaker values impact both consumers & electric utilities. Accurate analysis can benefit all parties & result in savings.
[UC10] Connected Loads [kW] vs. Actual Phase Balance Analysis
Errors in meter-to-phase assignation can result from inaccurate data about the phase the energy consumer connects. Such errors adversely influence grid operations & outage management.
[UC09] EV Charging & Use of Reserved Capacity Analysis
Utilities must have accurate insight into grid load growth due to the rapid rise in EV chargers. For such analysis, data cleansing and correction are usually required.
[UC08] Asset Management – Substations
Substation management is crucial for utilities & if managed efficiently, can increase utility savings; however, this requires accurate data.
[UC07] Asset Management – Cables & Lines
Asset management is crucial for utilities but is a considerable investment and operating cost; however, if managed with an efficient process can increase utility savings.
[UC06] GIS Grid Connectivity Validation & Correction
With “clean” data, a utility can perform insightful analysis requiring asset situational awareness and better address the challenges of managing the energy transition and improving grid reliability.
[UC05] Reversed Power Flow & PV Capacity Analysis
This use case simulates and quantifies the additional amount of PV generation (PV capacity) allowed on each Low Volt grid before reaching a state of reversed power flow.
[UC04] Transformer Capacity Analysis for EV Charging
Identifying how much EV Charging infrastructure can be accommodated given transformer load capacity is a new reality with the rise in EV use.
[UC03] Phase Balance Analysis
Identifying which phase is more or less loaded, adjusting accordingly and thus optimizing the grid & lowering investment costs.
[UC02] Power Factor Analysis
A use case for analyzing power factor values and how to manage these for an optimized grid.
[UC27] IoT Sensor Billing
Utilize alternative sensors located in the grid for customer billing purposes where metering data is not reliable.
[UC24] Analysis of Planned Outage for Assets Upgrades
Analyze transformers downstream from where a planned outage will occur to identify opportunities for asset upgrades
[UC01] Coincident Peak & Non-Coincident Peak Analysis
Ability to calculate Coincident Peak (CP) and Non-Coincident Peak (NCP) at various levels of aggregation and geographies.
[UC11] Unserved Energy Due To Outages Analysis
Understand the impact outages are having on customers and how they have impacted revenue
[UC26] Transformer Loading Analysis
Analyze transformer loading patterns and health across all transformers in the service territory.
[UC12] Grid Temperature Monitoring
The impacts of extreme temperatures on grid components can range from financial losses, increased emissions and customer dissatisfaction to wildfires, extended outages and other damaged assets. These impacts are preventable with accurate insights.