Franck Junior Aboya Messou (majoring in Applied Informatics at the Graduate School of Science and Engineering) received the Young Researcher’s Encouragement Award at the 2024 IEEE 100th Vehicular Technology Conference (IEEE VTC2024-Fall).

・Winner
Franck Junior Aboya Messou (second-year Master’s student in Yu Lab, majoring in Applied Informatics at the Graduate School of Science and Engineering)

・Conference
The 2024 IEEE 100th Vehicular Technology Conference: IEEE VTC2024-Fall

・Date
October 7, 2024 ～October 10, 2024

・Awarded date
October 17, 2024

・Conference Venue
Washington DC, USA

・Award name
Young Researcher’s Encouragement Award

・Name of award-winning paper
Enhancing Short-Term Load Forecasting in Internet of Things: A Hybrid Attention-based CNN-BiLSTM with Data Augmentation Approach

・Summary of research
The increasing integration of renewable energy sources and smart appliances in IoT underscores the importance of accurate short-term load forecasting. This paper presents an innovative Attention-based CNN-BiLSTM model to address the non-linear nature, randomness, volatility, and limited size of residential electricity consumption data. By incorporating data augmentation techniques, the model demonstrates improved robustness and performance on diverse datasets. Tested on IHEPC and AMPds datasets, our model shows significant accuracy improvements, with reductions in MSE to 28% and 34%, MAE to 17% and 24%, and RMSE to 16.5% and 17%, respectively. These results highlight the potential of our approach in enhancing energy management strategies, especially for small, sparse, or complex datasets driven by IoT devices.