Fateme Fahiman

According to our database, Fateme Fahiman authored at least 5 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

RLIDT: A Novel Reinforcement Learning-Infused Deep Transformer Model for Multivariate Electricity Load Forecasting.

Seyed Mohammad Jafar Jalali, Fateme Fahiman, Mahdi Khodayar

Proceedings of the 16th International Conference on Electronics, 2024

2019

Pattern Recognition and Predictive Modelling in Smart Grids.

Fateme Fahiman

PhD thesis, 2019

Robust and Accurate Short-Term Load Forecasting: A Cluster Oriented Ensemble Learning Approach.

Fateme Fahiman, Sarah M. Erfani, Christopher Leckie

Proceedings of the International Joint Conference on Neural Networks, 2019

2017

Improving load forecasting based on deep learning and K-shape clustering.

Fateme Fahiman, Sarah M. Erfani, Sutharshan Rajasegarar, Marimuthu Palaniswami, Christopher Leckie

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Fuzzy c-Shape: A new algorithm for clustering finite time series waveforms.

Fateme Fahiman, James C. Bezdek, Sarah M. Erfani, Marimuthu Palaniswami, Christopher Leckie

Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017