scholarly journals Agilometer: An Effective Implementation of Internet of Things for Agile Demand Response

2017 ◽  
Vol 2 (2) ◽  
pp. 58
Author(s):  
Muhammad Babar ◽  
J. Grela ◽  
A. Ozadowicz ◽  
P.H. Nguyen ◽  
Z. Hanzelka ◽  
...  
Keyword(s):  
Energy Management ◽  
Demand Response ◽  
Energy System ◽  
Evaluation Study ◽  
Energy Management Systems ◽  
Effective Implementation ◽  
Demand Response Program ◽  
Multi Agent ◽  
Functional Blocks ◽  
Market Driven

Transactive based control mechanism (TCM) needs the IoT environment to fully explore flexibility potential from the end-users to offer to involved actors of the smart energy system. On the other hand, many IoT based energy management systems are already available to a market. This paper presents an ap-proach to connect the current demand-driven (top-down) energy management system (EMS) with a market-driven (bottom-up) demand response program. To this end, this paper considers multi-agent system (MAS) to realize the approach and introduces the concept and standardize design of Agilometer. It is described as an elemental agent of the approach. Proposed by authors Agilometer consists of three different functional blocks, which are formulated as an IoT platform according to the LonWorks standard. Moreover, the paper also performs an evaluation study in order to validate the proposed concept and design.

scholarly journals A Residential House Comparative Case Study Using Market Available Smart Plugs and EnAPlugs with Shared Knowledge

Energies ◽  
2019 ◽  
Vol 12 (9) ◽  
pp. 1647 ◽  
Author(s):  
Luis Gomes ◽  
Filipe Sousa ◽  
Tiago Pinto ◽  
Zita Vale
Keyword(s):  
Energy Management ◽  
Management Systems ◽  
Comparative Case Study ◽  
Shared Knowledge ◽  
Monitoring And Control ◽  
Energy Management Systems ◽  
Multi Agent ◽  
Residential House ◽  
And Control

Smart home devices currently available on the market can be used for remote monitoring and control. Energy management systems can take advantage of this and deploy solutions that can be implemented in our homes. One of the big enablers is smart plugs that allow the control of electrical resources while providing a retrofitting solution, hence avoiding the need for replacing the electrical devices. However, current so-called smart plugs lack the ability to understand the environment they are in, or the electrical appliance/resource they are controlling. This paper applies environment awareness smart plugs (EnAPlugs) able to provide enough data for energy management systems or act on its own, via a multi-agent approach. A case study is presented, which shows the application of the proposed approach in a house where 17 EnAPlugs are deployed. Results show the ability to shared knowledge and perform individual resource optimizations. This paper evidences that by integrating artificial intelligence on devices, energy advantages can be observed and used in favor of users, providing comfort and savings.

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