Enhancing Medium-Term Electric Load Forecasting Accuracy Leveraging Swarm Intelligence and Neural Networks Optimization
Author:
Affiliation:
1. Science University of Johannesburg,Dept. of Electrical and Electronic Engineering,Johannesburg,South Africa,2006
Funder
National Research Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10667054/10667060/10667278.pdf?arnumber=10667278
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1. State-of-the-art review on energy and load forecasting in microgrids using artificial neural networks, machine learning, and deep learning techniques
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3. Hybrid Inception-embedded deep neural network ResNet for short and medium-term PV-Wind forecasting
4. Estimation of Short-Term Power of Wind Turbines Using Artificial Neural Network (ANN) and Swarm Intelligence
5. Forecasting of Maximum Peak Load Demand of Abuja Region Interconnected Power Network Using Artificial Neural Network;AIROBOMAN;International Journal of Engineering Science and Application,2022
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