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Table 4 Summary of work done on demand side energy management policies

From: A comprehensive overview on demand side energy management towards smart grids: challenges, solutions, and future direction

Authors

Objective

Incentive based DR

Price based DR

User type

DER

EE

DLC

EDR

CMP

ICS

DBB

ASM

RTP

CPP

TOU

IBR

Fixed

Piette et al. (2005)

Maximum peak load reduced by 27%

          

I

  

Ming et al. (2013)

Energy consumption reduced by 6%

        

  

A

  

Vivekananthan et al. (2014)

4% annual peak reduction

       

  

R

  

Møller Andersen et al. (2006)

Peak reduction by 4%

          

A

  

Al Hasib et al. (2014)

21% cost reduction

         

 

R

 

Lowell and Yoshimura (2011)

Change in consumers’ load profile

    

     

A

  

Zhao et al. (2013)

PAR reduced to 2.84%

      

  

 

R

  

Wang and Paranjape (2015)

19% cost reduction

      

  

 

R

  

Amini et al. (2015)

The total reduction of energy is 10% of the base load

      

 

R

  

Sæle and Grande (2011)

Peak reduction by 30% and energy usage by 4%

     

     

R& I

 

Fanti et al. (2018)

4.8% reduction in the cost of energy

           

R

Sala-Cardoso et al. (2018)

10% mean error recorded for load forecasting

           

R

 

Haider et al. (2016)

73% of the customers received low energy

          

R

  

Panapakidis et al. (2014)

Improvement in the load profile of the users

           

C

 

Cappers et al. (2010)

Peak reduction by 3%

  

   

    

A

 

Anvari-Moghaddam et al. (2014)

25% cost reduction

      

    

R

 

Lu et al. (2017)

The total energy is reduced by 34.71%

    

   

  

R

  

Schwartz (2012)

Reduce peak demand by 4% for RTP, 6% for TOU, and 10% for EDC

 

    

 

  

A

  

Yoon et al. (2014a, b)

Peak load reduced to 24.7% and 4.3% annually

  

  

    

R

  

Chatziioannou et al. (2013)

Lower system cost by 25%

     

 

  

A

 

Martirano et al. (2018)

20% peak load reduction is recorded

           

R&C

Paudyal and Ni (2019)

11.3% cost reduction

        

  

R

 

Samadi et al. (2014)

22% cost reduction

      

  

 

R

  

Sehar et al. (2017)

HAVC energy consumption is reduced by 7.47%

           

C

 

Shafie-Khah and Siano (2017)

42% cost reduction

      

 

  

R