Big Data Analytics & IoT Challenges

© BaxEnergy GmbH 2010-2017.All rights reserved. Specifications are subject to change without notice. Energy Studio Pro® and its modules are registered trademarks of BaxEnergy GmbH. Other product and company names mentioned herein may be trademarks of their respective owners.
Speaker: Carmelo Floridia
Big Data Analytics & IoT challenges:
Innovative Solutions for a Greener World
Big Data For You Conference 25th February 2017 Catania
BaxEnergy Italy
Senior Engineer – Data Processing
©2017 BaxEnergy GmbH. All rights reserved

INNOVATIVE SOLUTIONS FOR A GREENER WORLD
© BaxEnergy GmbH 2010-2016.All rights reserved. Specifications are subject to change without notice. Energy Studio Pro® and its modules are registered trademarks of BaxEnergy GmbH. Other product and company names mentioned herein may be trademarks of their respective owners.© BaxEnergy GmbH 2010-2017.All rights reserved. Specifications are subject to change without notice. Energy Studio Pro® and its modules are registered trademarks of BaxEnergy GmbH. Other product and company names mentioned herein may be trademarks of their respective owners.
CarmeloFloridia
Software Architect for Real-Time data solutions
Joined Bax Energy in 2012
Worked for companies in the field of sofware
development and industrial automation
Microsoft Certified Solution Developer
Computer Engineering Degree - Catania University

Data Driven Renewable Energy

IoT in BaxEnergy
Group- Critical Value Monitoring Hydro Power Curve
Hydro Power Plant

IoT in BaxEnergy
Photovoltaic Power Plant Solar Power Curve
Solar Power Plant

Power Curve Analysis
kW
m/s

© BaxEnergy GmbH 2010-2016.All rights reserved. Specifications are subject to change without notice. Energy Studio Pro® and its modules are registered trademarks of BaxEnergy GmbH. Other product and company names mentioned herein may be trademarks of their respective owners.©2016 BaxEnergy GmbH. All rights reserved

Power Plants GloballyDistributedPower Plants GloballyDistributed

DistributedData
DATAVOLUME
TIME
INCREASING DATA VOLUME
Hydroelectric
Geothermal
Wind
Solar
Smarthomes

Do we have a Big Data problem?
Big Data is typified by the "3 V’s":
• Volume – huge amount of data to process
• Variety – a mixture of structured and unstructured data
• Velocity – new data generated extremely frequent
Volume Variety Velocity

Services based on big data
Frequenting shops Google Traffic

Technologyis all aroundus
The way you see thingschangesthe way you live them...

Benefitsof estimatingenergyproductionand demand
Forecast of how much renewable energy will be generated and demanded brings many benefits:
• efficiently control the number and capacity of turbines in operation to meet electricity demand.
• allow system operators to make better use of existing backup capacities.
• allow grid operators to more accurately schedule not only backup generation, but also manage
consumer demand.

PredictiveAnalysis
Historical Data:
Warnings
Failure
Working Conditions
Machine Learning
Models:
Next-Gen Predictive
Platforms
Failure Prediction:
Working Conditions
Warnings
Forecast
Cost ReductionA tool able to provide the data necessary for a proper
statistical predictive analysis, to improve maintenance of
power generators and field devices

BusinessIntelligenceEvolution

What is machinelearning?
• Machine learning is a technique of data science that helps computers
learn from existing data in order to forecast future behaviors, outcomes,
and trends.
• These forecasts or predictions from machine learning can make apps
and devices smarter. When you shop online, machine learning helps
recommend other products you might like based on what you've
purchased.

What is machinelearning?
Traditional Programming Machine Learning

Kinect– Human ModelLearning

Azure MachineLearning
• Azure Machine Learning is a cloud predictive analytics service that makes it possible to
quickly create and deploy predictive models as analytics solutions.
• You can work from a ready-to-use library of algorithms, use them to create models on
an internet-connected PC, and deploy your predictive solution quickly.
• Web API as RESTful service.

Big Data Analytics & IoT Challenges

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