Publicacions en què col·labora amb Ravinesh C. Deo (44)

2025

  1. Electricity demand uncertainty modeling with Temporal Convolution Neural Network models

    Renewable and Sustainable Energy Reviews, Vol. 209

  2. Explainable deep learning hybrid modeling framework for total suspended particles concentrations prediction

    Atmospheric Environment, Vol. 347

  3. Explainable deeply-fused nets electricity demand prediction model: Factoring climate predictors for accuracy and deeper insights with probabilistic confidence interval and point-based forecasts

    Applied Energy, Vol. 378

  4. Generating High Spatial and Temporal Surface Albedo with Multispectral-Wavemix and Temporal-Shift Heatmaps

    Remote Sensing, Vol. 17, Núm. 3

  5. Half-hourly electricity price prediction model with explainable-decomposition hybrid deep learning approach

    Energy and AI, Vol. 20

2024

  1. Atmospheric Visibility and Cloud Ceiling Predictions With Hybrid IIS-LSTM Integrated Model: Case Studies for Fiji's Aviation Industry

    IEEE Access, Vol. 12, pp. 72530-72543

  2. Deep Learning Based Over-the-Air Training of Wireless Communication Systems without Feedback

    Sensors, Vol. 24, Núm. 10

  3. Electricity demand error corrections with attention bi-directional neural networks

    Energy, Vol. 291

  4. End-to-end learning of adaptive coded modulation schemes for resilient wireless communications

    Applied Soft Computing, Vol. 159

  5. Half-hourly electricity price prediction with a hybrid convolution neural network-random vector functional link deep learning approach

    Applied Energy, Vol. 374

  6. Multi-Step-Ahead Wind Speed Forecast System: Hybrid Multivariate Decomposition and Feature Selection-Based Gated Additive Tree Ensemble Model

    IEEE Access, Vol. 12, pp. 58750-58777

  7. Point-based and probabilistic electricity demand prediction with a Neural Facebook Prophet and Kernel Density Estimation model

    Engineering Applications of Artificial Intelligence, Vol. 135

  8. Poster: Cloud Computing with AI-empowered Trends in Software-Defined Radios: Challenges and Opportunities

    Proceedings - 2024 IEEE 25th International Symposium on a World of Wireless, Mobile and Multimedia Networks, WoWMoM 2024

  9. Probabilistic-based electricity demand forecasting with hybrid convolutional neural network-extreme learning machine model

    Engineering Applications of Artificial Intelligence, Vol. 132

  10. Short-term wind speed forecasting using an optimized three-phase convolutional neural network fused with bidirectional long short-term memory network model

    Applied Energy, Vol. 359

  11. Towards next-generation federated learning: A case study on privacy attacks in artificial intelligence systems

    Proceedings - 2024 IEEE Conference on Artificial Intelligence, CAI 2024

  12. Two-step deep learning framework with error compensation technique for short-term, half-hourly electricity price forecasting

    Applied Energy, Vol. 353

  13. Very short-term solar ultraviolet-A radiation forecasting system with cloud cover images and a Bayesian optimized interpretable artificial intelligence model

    Expert Systems with Applications, Vol. 236

  14. Wavelet-fusion image super-resolution model with deep learning for downscaling remotely-sensed, multi-band spectral albedo imagery

    Remote Sensing Applications: Society and Environment, Vol. 36

2023

  1. A Comparative Study of Artificial Intelligence-Based Algorithms for Bitwise Decoding of Error Correction Codes

    22nd International Symposium on Communications and Information Technologies, ISCIT 2023