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Md. Imamul Islam

affiliation not provided to SSRN

  • affiliation not provided to SSRN

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Scholarly Papers (1)

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Predicting Short-Term Energy Demand in the Smart Grid: A Deep Learning Approach for Integrating Renewable Energy Sources in Line with Sdgs 7, 9, and 13

Number of pages: 38 Posted: 07 Aug 2023
M.Saef Ullah Miah, Junaida Sulaiman, Md. Imamul Islam, Md Masuduzzaman, Nimay Chandra Giri, Subrata Kumar Sarker and S.M. Muyeen
Universiti Malaysia Pahang, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Centurion University of Technology and Management, Rajshahi University of Engineering and Technology and Qatar University - Department of Electrical Engineering
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Abstract:

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Energy demand forecasting, smart grid application, SDG 7, SDG 9, SDG 13, LSTM, sustainable energy