IOT

IoE-EQ (Academic Year 2019/2020)

IoE Manager


Prof. Sergio Martin
(Universidad Nacional de Educación a Distancia )
Prof. Dario Assante
(MAG-UNINETTUNO )
Prof. Hamid Doost Mohammadian
(Fachhochschule des Mittelstands )
Language: English
Course description
This course provides an introduction to the fundamentals of the Internet of Energy, ie data analysis, policy and regulations, networking and security and more basic concepts.
Its purpose is to introduce EU companies the big data terminology, features, characteristics and specific applications to energy sector Describe the machine learning main features and its applications to the energy sector. Describe the main algorithms and tool for energy forecasts and predictive management in the energy sector.

Moreover, the aim is also to introduce the EU companies in the use of legal aspects of IoE Technology and systems to help them improve and develop their energy consumption. As a consequence of this developing EU companies will be able to understand better their regulation, law and legal limitation for the processes and improve their competitiveness by optimizing their energy consumption and using IT tools and smartness and also a strong focus on coordinating standardization to support of continuous bi‐directional communication between energy generation and end users along with intelligent solutions is aim of this technology.
Prerequisites
Basics of IT technologies
Objectives
Knowledge
Skills
Competences
Machine Learning and deep learning for Energy Internet
Enhance operational productivity
- Technical proposal
- New technology
- Integration proposal
- Predictive analytics
- Optimization plan
- Management plan
Big data analysis intelligence (IoE)
Correct use of IoT data  on how needs and preferences will change
- System performance assessment
- Assessing and editing
- Data analyzing
- Predictive analytics
- Technology Trend Monitoring
Data mining and knowledge discovery (IoE)
Integrate and demonstrate smart solutions’ in energy
- Data analyzing
- Technology Monitoring
Innovative forecasting methods (IoE)
To provide valuable insights on how in practice
- ITC Quality management
- Data center management
- Problem Management
Computing, data security
Regulating digital market
Calculation of regulatory Cutting-edge regulatory issues:
Monitor devices
Data Minimization
Notice and Choice
- Enforcement action
- Data Security
- Building security 
- Training security
- Ensuring to maintain security
- Identifying security risks
Assessment System performance assessment
Technical proposal
New technology integration proposal
- Optimization plan
- Management plan

Program
Module 1 - Introduction to IoE technology: Introduction to IoT and IoE, Background and Perspectives, IoE technology

Module 2 - IoE business analysis and strategy: IoE Business, IoE business analysis, IoE business strategy

Module 3 - IoE data analysis: Big data for IoE, Machine learning for IoE, Prediction and simulation models for IoE

Module 4 - Legal aspects: IoE policy, law and regulation, IoE ethics and politics, Legal aspects of IoE

Module 5 - Basics of networking and security: Introduction to Networking for IoE environments, Connectivity in IoE environments, Introduction to IoE security
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
List of video lessons
Dario Assante
Hamid Doost Mohammadian
Hamid Doost Mohammadian
    •  Lesson n. 4: IoE technology 
Hamid Doost Mohammadian
Hamid Doost Mohammadian
    •  Lesson n. 6: IoE business 
Hamid Doost Mohammadian
Hamid Doost Mohammadian
Hamid Doost Mohammadian
Hamid Doost Mohammadian
Dario Assante
Dario Assante
Dario Assante
Hamid Doost Mohammadian
Hamid Doost Mohammadian
Hamid Doost Mohammadian
Hamid Doost Mohammadian
Hamid Doost Mohammadian
Sergio Martin
Sergio Martin
Sergio Martin
    •  Lesson n. 21: IoE security 
Sergio Martin