Prof.M.H Yaghmaee Moghaddam

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Prof.M.H Yaghmaee Moghaddam

Full Professor at the Computer Engineering Department, Ferdowsi University of Mashhad (FUM)

Cloud Based Demand Response Architecture for the Future Smart Grid: As Electric energy can not be easily stored, the utility companies prefer to use Demand Response (DR) programs to make a balance between the power generation and the power consumption. For this purpose, different techniques such as time-based pricing and incentive programs are widely used. Demand response which is one of ten top research topics in the smart grid can also be leveraged to shift the power usage from peak hours to the non-peak hours where the price of energy is low. In this case, to find the optimal solution, having a global view of the power network is too important. It has been proven that distributed demand response techniques, suffer from some critical problems. Recently cloud computing has received attention for smart grid applications. Most smart grid applications need reliable and efficient communications. This can be met by utilizing the cloud computing based on software-defined infrastructure. Cloud computing brings some opportunities for smart grid applications. Flexible resources and services shared in the network, parallel processing, and omnipresent access are some features of cloud computing that are desirable for smart grid applications. In this talk, a cloud-based demand response program that schedules the power consumption by customers in different regions is introduced. The cloud-based demand response utilizes the processing and storage resources of two-tier cloud computing consisting of the “Smart Edge” and the “Core cloud”, to develop an optimal demand side management. In this architecture, customers are classified into different regions. Each region is controlled by a “Smart Edge” cloud to provide cloud computing resources at the edge of the network precisely to meet low latency requirements as well as to reduce the volume of traffic that needs to traverse the network backbone. Cloud-based nature of the proposed architecture reduces the cost of computation which makes it easier for the future smart grid.


Keynote Speakers

  • Univerisyt of Waterloo Professor, NSERC/RIM Industrial Research Chair

    Prof.Safieddin Safavi-Naeini

    Dielectric-Waveguide Integrated Technologies for Emerging Millimeter-wave/Terahertz Systems: Millimeter-waves (mmW) to terahertz
  • Head of Institute for Digital Communications

    Prof.Robert Schober

    Wireless Powered Communication Systems: Overview, Recent Results, and Challenges: Although wireless power transfer (WPT) has been
  • University of Essex, UK

    Prof.Mohammed Ghanbari

    Monitoring and evaluation of streamed video quality:Rapid growth of telecom networks and huge demand for video services, have crea
  • University of Northumbria, Newcastle, UK

    Prof.Zabih (Fary) Ghassemlooy

    The Emergence of Visible Light Communications:In the last decade we have seen a growing research interest and activities in the em
  • Global Director for Smart Sustainable Cities

    Mr.Jo Arne Lindstad

    Smart Sustainable Cities:Most cities around the world are talking about becoming smart.
  • Head of Government and Industry Relations

    Mr.Amir Hossein Sobhi Afshar

    5G, A New Opportunity:How 5G can bring new opportunities in front of our eyes despite the fact that most people are thinking this
  • Wipro Technologies DP Co.

    Mr.Sunil Arora

    Great opportunity provided by Digital Services for the CSPs:Globally, key digital trends have triggered operators’ transformation
  • Full Professor at the Computer Engineering Department, Ferdowsi University of Mashhad (FUM)

    Prof.M.H Yaghmaee Moghaddam

    Cloud Based Demand Response Architecture for the Future Smart Grid: As Electric energy can not be easily stored, the utility compa