Smart tariffs for demand response from smart metering platform

The smart grid delivers electricity from producers to consumers using two-way digital technology and considers the involvement of the user. The implementation of smart grids should start at the consumer side using smart meters, control devices and a communication link. Smart metering is the bridge between smart buildings and smart grids. It is viewed as a crucial factor for an efficient functioning of the internal electricity market and a successful implementation of the renewable energy and security of supply. The replacement of the currently used electromechanical meters with smart digital meters along with domestic load controllers is identified for better energy conservation at the consumer side .These devices can be remotely read and are able to measure consumption multiple times per day which is beneficial for a good demand response, customer feedback and energy management. The purpose of the present paper is to illustrate how smart meters operate and how their implementation can improve the current grid

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Modeling demand response and economic impact of advanced and smart metering

Energy Systems ◽

10.1007/s12667-013-0113-1 ◽

2013 ◽

Vol 5 (3) ◽

pp. 583-606 ◽

Cited By ~ 7

Author(s):

Praneeth Aketi ◽

Suvrajeet Sen

Keyword(s):

Economic Impact ◽

Demand Response ◽

Smart Metering

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Accelerating Energy Transition to Green Electricity through Artificial Intelligence

10.31219/osf.io/tcrkh ◽

2021 ◽

Author(s):

Hendro Wicaksono

Keyword(s):

Neural Network ◽

Artificial Intelligence ◽

Power Generation ◽

Demand Response ◽

Energy Transition ◽

Data Driven ◽

Smart Metering ◽

Green Electricity ◽

Definition Of

The presentation focuses on the role of artificial intelligence in accelerating the transition to green electricity in Germany. It discusses the challenges in the transition towards green electricity in Germany and the role of digitalization through smart metering. One of the methods to adopt and disseminate the use of green electricity is demand response. The presentation explains the definition of demand response concept and gives an example of projects that applies neural network to forecast power generation and consumption to enable calculation of dynamic electricity price. Finally, the presentation explores the adoption of green electricity in broader contexts, e.g., cities and districts, through a data-driven smart energy platform.

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