Deep Learning Based Load Prediction Framework for household Smart  Energy Management

Preeti, Dr Parveen Kumar

Deep Learning Based Load Prediction Framework for household Smart Energy Management

Authors

Preeti, Dr Parveen Kumar

Keywords:

Deep learning, Energy Management, CNN, Machine Learning

Abstract

Energy consumption forecasting plays a pivotal role in optimizing energy generation,distribution, and consumption, especially in the context of growing global demand and the integrationof renewable energy sources. Accurate forecasting enables efficient load balancing, cost reduction, andimproved decision making for utility

References

Runge, J., & Zmeureanu, R. (2019). Forecasting energy use in buildings using artificial neural networks: A review. Energies, 12(17), 3254–3279.

Abera, F. Z., & Khedka, V. (2020). Machine learning approach for electric appliance consumption and peak demand forecasting of residential customers using smart meter data. Wireless Personal Communications, 111(1), 65–82

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Published

2024-11-21

How to Cite

Preeti, Dr Parveen Kumar. (2024). Deep Learning Based Load Prediction Framework for household Smart Energy Management . Journal of Computational Analysis and Applications (JoCAAA), 33(08), 4851–4859. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/2990