Solving electric power distribution uncertainty using deep learning and incentive-based demand response

Author:

Palaniyappan Balakumar,T Vinopraba,Chandrasekaran Geetha

Publisher

Elsevier BV

Subject

Sociology and Political Science,Business and International Management,General Economics, Econometrics and Finance,Economics, Econometrics and Finance (miscellaneous),Economics and Econometrics,General Energy,Transportation

Reference31 articles.

1. Critical peak pricing with load control demand response program in unit commitment problem;Alizadeh;IET Gener. Transm. Distrib.,2013

2. Electricity load and price forecasting using machine learning algorithms in smart grid: a survey;Arif,2020

3. Machine learning based demand response scheme for iot enabled pv integrated smart building;Balakumar;Sustain. Cities Society,2022

4. Real time implementation of Demand Side Management scheme for IoT enabled PV integrated smart residential building;Balakumar;J. Build. Eng.,2022

5. Smart hybrid microgrid for effective distributed renewable energy sharing of PV prosumers;Balakumar;J. Energy Storage,2022

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