Jethro Dowell

A review of uncertainty quantification in deep learning: Techniques, applications and challenges

Maintenance optimization and inspection planning of wind energy assets: Models, methods and strategies

Exploiting sparsity of interconnections in spatio-temporal wind speed forecasting using Wavelet Transform

Privacy-Preserving Distributed Learning for Renewable Energy Forecasting

Short-Term Load Forecasting for Industrial Customers Based on TCN-LightGBM

Maintenance logistics organization for offshore wind energy: Current progress and future perspectives

A novel hybrid decision making approach for the strategic selection of wind energy projects

Review on deep learning applications in frequency analysis and control of modern power system

Correlation-Constrained and Sparsity-Controlled Vector Autoregressive Model for Spatio-Temporal Wind Power Forecasting

Deep belief network based deterministic and probabilistic wind speed forecasting approach

Short-term wind speed prediction model based on GA-ANN improved by VMD

Smart deep learning based wind speed prediction model using wavelet packet decomposition, convolutional neural network and convolutional long short term memory network

Neural Network-Based Uncertainty Quantification: A Survey of Methodologies and Applications

Privacy-Preserving Spatiotemporal Scenario Generation of Renewable Energies: A Federated Deep Generative Learning Approach

A Review of the Measures to Enhance Power Systems Resilience

Short-term wind speed forecasting by spectral analysis from long-term observations with missing values

Short-term spatio-temporal prediction of wind speed and direction

Analysis of wind and wave data to assess maintenance access to offshore wind farms

Very-Short-Term Probabilistic Wind Power Forecasts by Sparse Vector Autoregression

An economic impact metric for evaluating wave height forecasters for offshore wind maintenance access