Real-time electricity pricing of a comprehensive demand response model in smart grids

2016 ◽  
Vol 27 (3) ◽  
pp. e2256 ◽  
Author(s):  
Abouzar Samimi ◽  
Mehdi Nikzad ◽  
Mohammad Mohammadi
Keyword(s):  
Real Time ◽  
Demand Response ◽  
Smart Grids ◽  
Response Model ◽  
Electricity Pricing

Real-time price-based demand response model for combined heat and power systems

Energy ◽  
2019 ◽  
Vol 168 ◽  
pp. 1119-1127 ◽  
Author(s):  
Manijeh Alipour ◽  
Kazem Zare ◽  
Heresh Seyedi ◽  
Mehdi Jalali
Keyword(s):  
Power Systems ◽  
Real Time ◽  
Demand Response ◽  
Combined Heat And Power ◽  
Response Model ◽  
Time Price

Combining real-time processing streams to enable demand response in smart grids

2017 ◽  
Author(s):  
Ivana Kovacevic ◽  
Aleksandar Erdeljan ◽  
Srdan Vukmirovic ◽  
Nikola Dalcekovic ◽  
Jelena Stankovski
Keyword(s):  
Real Time ◽  
Demand Response ◽  
Smart Grids ◽  
Real Time Processing ◽  
Time Processing

A Research into Probabilistic Electricity Load Prediction Based on Demand Response Feature under Smart Grid Environment

2013 ◽  
Vol 380-384 ◽  
pp. 3098-3102
Author(s):  
Ning Lu ◽  
Ying Liu
Keyword(s):  
Real Time ◽  
Demand Response ◽  
Electricity Market ◽  
Electricity Price ◽  
Electricity Pricing ◽  
Load Prediction ◽  
Characteristics Analysis ◽  
System Risk ◽  
Probabilistic Load ◽  
Demand Changes

The construction of grid plays an important role in national economic development, social stability and peoples life. In case that electricity market adopts real time electricity price, users active participation and real time response to electricity price will change the traditional load prediction from rigid forecasting to flexible forecasting which takes electricity demand response into consideration. By using wavelet analysis and error characteristics analysis, the researches into the probabilistic predicting method for demand changes under the real time electricity pricing is carried out. The probabilistic load prediction result shall enable decision makers to better understand the load change range in the future and make more reasonable decision. Meanwhile, it shall provide support to electricity system risk analysis.

Real-Time Demand Response Model

2010 ◽  
Vol 1 (3) ◽  
pp. 236-242 ◽  
Author(s):  
Antonio J. Conejo ◽  
Juan M. Morales ◽  
Luis Baringo
Keyword(s):  
Real Time ◽  
Demand Response ◽  
Response Model

scholarly journals A Distributed IoT Infrastructure to Test and Deploy Real-Time Demand Response in Smart Grids

2019 ◽  
Vol 6 (1) ◽  
pp. 1136-1146 ◽  
Author(s):  
Luca Barbierato ◽  
Abouzar Estebsari ◽  
Enrico Pons ◽  
Marco Pau ◽  
Fabio Salassa ◽  
...  
Keyword(s):  
Real Time ◽  
Demand Response ◽  
Smart Grids
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