IOT

IoE-EQ (Academic Year 2019/2020)

IoE Expert for Smart Cities



Prof. Sergio Martin
(Universidad Nacional de Educación a Distancia )
Prof. Dario Assante
(MAG-UNINETTUNO )
Prof. Hamid Doost Mohammadian
(Fachhochschule des Mittelstands )
Prof. Ottorino Veneri
(Istituto Motori - CNR )
CONTENT_LANGUAGE:GENERIC_EN
Course description
This course provides an introduction of the use of Internet of Energy in Smart Cities. It introduces EU Companies and experts in the knowledge and management of smart grids. The introduction of best practices about energy management within the smart grid scenario allows EU companies and experts to improve their competitiveness by optimizing energy efficiency, costs and environmental impact and is providing information considering the Integration of electric mobility with the grid.

Moreover, its purpose is to introduce the big data terminology, features, characteristics and specific applications to energy sector and to describe the machine learning main features and their applications to the energy sector. Additionally, it provides an overview of the main algorithms and tools for energy forecasts and predictive management in the energy sector. Finally, another goal is to support companies in understanding the networking and communication requirements as well as the security vulnerabilities that may apply to these environments.
Prerequisites
Basics of IT competences. Basics of electrical engineering and power networks.
Objectives
Knowledge
Skills
Competences
Big Data Analytics and Machine learning techniques
Describe big data and machine learning characteristics, showing impact on organization's development
Manage and control the technical implementation of big data and machine learning classification techniques in line with the organizational context
Comprehensive, specialized, factual theoretical knowledge of the main forecasting models in the energy sector
Apply methods and tools for forecasting and simulation in the energy sector
Manage energy networks based on the outcomes of predictive algorithms and tools
- Conceptual models of smart grid
- AC and DC Distributed Micro-grid architectures
- Smart and advanced metering infrastructures
- Role of agents and prosumers
- Design of smart energy systems
- Management of micro-grid applications on the basis of hierarchical control schemes
Competences in power architectures design and in the analysis of optimal energy management strategies related to energy production, storage and consumption in a smart city context
Networking and communication protocols for IoE environments
Advice IoE users on the proper networking and communication protocol to be implemented in Smart Grids environment
Manage and supervise the technical implementation of the different networking and communication protocols
IoE security basics, Security risks regarding the implementation of networking and communication protocols
Identify and analyse approaches and instruments for performing analysis to identify the concrete risks related to networking and communication protocols
Support the coordination of the risk analysis for IoE environments, according with the organization’s guidelines, provide advice for addressing the risks
Program
Module 1 - Introduction to IoE: Introduction to IoT and IoE, Background and Perspectives, IoE technology, IoE Business, IoE business analysis, IoE business strategy

Module 2 - Smart Grids: Electric Distributed Architectures, Smart grid concept, Microgrid architectures, DC microgrid laboratory case study, Remotable microgrid demonstrator

Module 3 - Integration of electric mobility with the grid: Power requirements of electric mobility, Main electric/hybrid vehicle configurations, Electric vehicle charging modes

Module 4 - IoE data analysis: Big data for IoE, Machine learning for IoE, Prediction and simulation models for IoE

Module 5 - Basics of networking and security: Introduction to Networking for IoE environments, Connectivity in Smart Grids, Introduction to IoE security, Smart grids/cities vulnerabilities
Professor
Professor not available
Video professors
Prof. Sergio Martin - Universidad Nacional de Educación a Distancia
Prof. Dario Assante - MAG-UNINETTUNO
Prof. Hamid Doost Mohammadian - Fachhochschule des Mittelstands
Prof. Ottorino Veneri - Istituto Motori - CNR
List of video lessons
Dario Assante
Hamid Doost Mohammadian
Hamid Doost Mohammadian
    •  Lesson n. 4: IoE technology  Go to this videolesson
Hamid Doost Mohammadian
Hamid Doost Mohammadian
    •  Lesson n. 6: IoE business  Go to this videolesson
Hamid Doost Mohammadian
Hamid Doost Mohammadian
Hamid Doost Mohammadian
Hamid Doost Mohammadian
Ottorino Veneri
Ottorino Veneri
Ottorino Veneri
Ottorino Veneri
Ottorino Veneri
Ottorino Veneri
Ottorino Veneri
Ottorino Veneri
Ottorino Veneri
Ottorino Veneri
Ottorino Veneri
Dario Assante
Dario Assante
Dario Assante
Sergio Martin
Sergio Martin
Sergio Martin
Sergio Martin