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DR. AMIT NARAYAN FOUNDER, CEO [email protected] WWW.AUTO-GRID.COM @AUTOGRIDSYSTEMS AutoGrid Systems Inc,— Confidential 1 TURNING BIG DATA INTO POWER NOVEMBER 20, 2013

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DR. AMIT NARAYAN

FOUNDER, CEO

[email protected]

WWW.AUTO-GRID.COM @AUTOGRIDSYSTEMS

AutoGrid Systems Inc,— Confidential

1

TURNING BIG DATA INTO POWER

NOVEMBER 20, 2013

AutoGrid Systems Inc,— Confidential

2

Utilities are going from

1 read / month

AutoGrid Systems Inc,— Confidential

3

to

2,880 reads/month

AutoGrid  Systems  Inc.,—  Confiden7al  

# of meters 15 minute interval

(per year)

1 minute interval

(per year)

10 second interval

(per year) 10,000 31.9 GB 467 GB 2.8 TB

100,000 319 GB 4.67 TB 28 TB

1,000,000 3.19 TB 46.7 TB 280 TB

Increasing Granularity of Data Unprecedented Levels of Data

Y2E2 Building @ Stanford 1 Year 1 min reads 2,600 points 100 GB

1,000 Y2E2 Buildings @ 1 second intervals

6 Petabytes = the entire US Library

of Congress X 50!

Data Deluge in the Energy Industry

Over $1 Trillion Investment in Energy

AutoGrid Systems Inc,— Confidential

5

1000X More Data from Energy Internet of Things

AutoGrid: First Modern Big Data Platform for Energy

AutoGrid Systems Inc,— Confidential

6

Data Volume (TB)

Number of Connected Nodes

Current Technology

The Application Platform for the Energy Industry

AutoGrid Systems Inc,— Confidential

7

1st Gen

2nd Gen Data Management Layer (MDM - eMeter, Itron, Historian - OSISoft)

Data Collection Layer (AMI - SSN, Itron, Elster, Cooper)

Customer Segmentation

Revenue Assurance

Voltage Optimization

Energy Efficiency

Demand Response

Energy Procurement

New Gen Data Analytics Layer

Phasors Wind

Sensors SCADA

Weather GIS OMS

Electric Cars Solar

Buildings CIS AMI Billing Demographics Social AutoGrid Energy Data Platform (EDP)

Predictive Control Grid Physics Big Data

First App: DROMSTM

AutoGrid Systems Inc,— Confidential

8

Demand Response Optimization and Management System

$400B in savings

188GW Possible in US

22GW DR were called in 2012

20% peak power =

10am 12pm 2pm 4pm 6pm

2% hours

AutoGrid Energy Data Platform (EDP)

Predictive Control Grid Physics Big Data

AutoGrid Energy Data Platform (EDP)

Predictive Control Grid Physics Big Data

Enrollment

Forecasting

Optimization

Notification

M&V, Analytics

AutoDR (M2M)

First App: DROMSTM

AutoGrid Systems Inc,— Confidential

9

DROMS is the System of Record for DR

Demand Response Optimization and Management System

AutoGrid Systems Inc,— Confidential

10

DROMS: A System of Record for DR Programs Lowers Cost & Risk, Improves Reliability & Adoption

DROMS

Voluntary DR •  CPP Programs •  Demand Bidding

Legacy DR •  Direct Load Control •  Aggregator

Managed

RELIABILITY

CU

STO

MER

SAT

ISFA

CTI

ON

NO YES

NO

Y

ES

DROMS is the only way to drive DR program reliability and customer satisfaction while containing the DR budget.

Second App: Enterprise Peak Management

AutoGrid Systems Inc,— Confidential

11

Phasors Wind

Sensors SCADA

Weather GIS OMS

Electric Cars Solar

Buildings CIS AMI Billing Demographics Social AutoGrid Energy Data Platform (EDP)

Grid Physics Big Data

Demand Response

AutoGrid Systems Inc.,— Confidential

12

•  Peak Demand charges = 30% of the cost

•  Single spike can lead to 30% of the cost

Reducing Demand Charges

•  Predicting and shifting peak load

can save 10-15% of total cost

–  15-min to 2-hours, 2-3 days / month

Demand Charge Savings Example – Real Customer Facility in Palo Alto

AutoGrid Systems Inc.,— Confidential

13

Date Range! July 2011"Peak Demand (kW)!

4,514"

Demand Charge ($)!

90,218"

Peak Demand Reduction (%)!

5%"

Peak Demand Reduction (kW)!

225"

Total Hours per Month!

7.00"

Annual Savings ($)!

$54,000!

Demand Charge Management: Local DR

•  Generate real-time forecasts for facilities

AutoGrid Systems Inc.,— Confidential

14

0  

5  

10  

15  

20  

1   24  

Load

 (MW)  

Hour  of  Day  

Forecast  Updated  Hourly  

Forecasted  Load  

ü  Forecast individual load ü  weather and occupancy dependent

ü  machine learning to continuously improve

•  Trigger ‘personalized’ alerts based on demand thresholds, and demand charge goals

0  

5  

10  

15  

20  

1   24  

Load

 (MW)  

Hour  of  Day  

Forecaste

Example: Trigger an alert if the forecast is over 14MW

AutoGrid Systems Inc.,— Confidential

15

•  Notify alerts to facility managers and occupants

AMI Headend

ZigBee SEP 1.X

OpenADR1.0 / 2.0

Proprietary

ZigBee SEP 2.0

D S O

•  Notify BEMS systems –  Automated –  OpenADR compliant

Legacy

Demand Charge Management: Local DR

EDP: Using Big Data for Energy Applications

AutoGrid Systems Inc,— Confidential

16

Native & Third Party Apps

Demand Response

Revenue Assurance

Voltage Optimization

Energy Efficiency

Enterprise Procurement

Customer Segmentation

AutoGrid Energy Data Platform (EDP)

Predictive Control Grid Physics Big Data

EDP Reduces Energy App Development Cost by 10X

DR. AMIT NARAYAN

FOUNDER, CEO

[email protected]

WWW.AUTO-GRID.COM @AUTOGRIDSYSTEMS

AutoGrid Systems Inc,— Confidential

17

TURNING BIG DATA INTO POWER

NOVEMBER 20, 2013