A Data Driven Approach for Day Ahead Short Term Load Forecasting

journal contribution

posted on 2024-11-04, 03:14 authored by Azfar Inteha, Nahid-Al-Masood, Farhan Hussain, Ibrahim Ahmed Khan

A Data Driven Approach for Day Ahead Short Term Load Forecasting

History

Journal

IEEE Access

Volume

10

Pagination

84227-84243

Location

Piscataway, N.J.

Publisher DOI

https://doi.org/10.1109/access.2022.3197609

Open access

Yes

ISSN

2169-3536

eISSN

2169-3536

Language

en

Publication classification

C1.1 Refereed article in a scholarly journal

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Publication URL

http://dx.doi.org/10.1109/access.2022.3197609

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Categories

Keywords

Bioengineering Machine Learning and Artificial Intelligence Networking and Information Technology R&D (NITRD)7 Affordable and Clean Energy Short-term load forecasting bidirectional gated recurrent unit GA-BiGRU Bangladesh power system genetic algorithm demand side management MAPE RMSE Technology

Licence

Exports