whitepaper - transforming the energy & utilities industry with smart analytics
Post on 12-Feb-2017
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Why Utility Players Need BI/Analytics
- Energy and utility industry players to invest US$7 billion on big data and
analytics in 2014, cross-industry spending at 15% (ABI Research, 2014)
- At an annual CAGR of 25%, the same figure is likely to increase by three times
to US$21 billion by 2019
- Key business drivers: Demand response and generation programs,
personalized customer care, complex customer data, regulatory norms
The Challenge? Utilities lack core IT capabilities in unlocking value data from millions of smart meters and converting them into business models
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Smart Meter Era – Need for Change in Utility Business- Watershed moment: Utilities worldwide have
announced smart meter roll-outs in their millions
- Transition from predictable business models to a
customer-centric one
- Transition from supply-side business model to a data-
driven, demand-based approach
- Which is better?- Option A: Real time controls over generation, consumption and costs
OR
- Option B:Blindly augmenting capacity and surprising end users with bill shock
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The Challenge of “Disaggregated” Data!
- Compared to any other point of time in history, utility providers have access to
the largest data set of consumer behavior – over 1 billion data points daily
- “Disaggregated” data of no use to utilities unless convertible to revenue
models
The Solution? Utility Players are looking to leverage Big Data-based predictive, statistical models derived from historical inputs to create predictable load
forecasting and innovative pricing plans
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New Utility Revenue Models based on BI/Analytics
- Predicting demand response can lead to up to 90 per cent cost savings
compared to other alternatives such as increasing generation capacity
- Predicting generation response will go a long way in accumulating supply side
cost savings
- Meeting regulatory compliance
- Reducing customer churn: Providing BI-based loyalty programs for customers
without increasing tariff
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eInfochips’ BI/Analytics Framework to Visualize Energy Data- Data Collection: Fire/smoke,
floods, weather outage, peak
demand, HVAC, smart home data
- Data Analysis: Predictive
analytics on Normalized to create
demand-side patterns
- Data Visualization: Alarms and
failures mapping, pattern
prediction, prioritized responses
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Monetization Example – Smart Home Use Case
- 1 million smart devices generate 3 billion
records a month
- Time needed to individually profile 3 billion
records = 2 mins. X 3 billion = 10,000 years!
The Solution? A tool like MongoDB insertsonly 1 million records and retrieves 300,000
saving valuable time, costs and productivity in data analysis
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Potential Business Areas for Utilities
- Demand Response Services: Putting the end user in control of their actual
consumption
- Coincidental Peak Demand Programs: When lots of consumers are involved,
utilities can guide them to save on energy bills based on accurate prediction of
coincidental peak demand
- Predicting Resource Demand: Using smart analytics tools, utilities can predict
future resource demand originating from historical data thus avoiding service
disruptions as well as overcapacity concerns.
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eInfochips Smart Energy Analytics Solution
SmartHomes
SMAC Internet of Things (IoT)
Data integration module
MongoDB – Events and device data processing integration
Tableau – Charts and Reports for visualization
Intelligently integrates application, device, online and unstructured data
As a MongoDB solutions partner, eInfochips deliver operationalinsights, reduces costs, improves customer serviceand creates new revenue streams
Cloud Enablement
Predictive analytics using Hadoop, MongoDB, CRM/ERP
BI and ad hoc reporting over Tableau
Operating across public, private and hybrid cloudenvironments, eInfochips supports deviceintegration across millions of device endpointswith security features like role-based access,HTTPS and crypto-secure tokens and Springsecurity framework.
Areas of Expertise
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To learn more on smart energy analytics and the eInfochips solution, please visit the link below to download our white paper
http://einfochips.viewpage.co/smart-energy-analytics-for-utilities-whitepaper
Read our White Paper
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eInfochips Work Portfolio
Application
System
Hardware
Mechanical
BI and Big DataCloud
Mobilitye-Commerce
FirmwareOperating System
BSP and DriversOn-Chip Features
Electronic / PCBFPGA
ASIC and SoCIP Integration
EnclosuresCAD Modelling
ErgonomicsIndustrial
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