Ben Potter

Bi-directional long short-term memory method based on attention mechanism and rolling update for short-term load forecasting

Review of deep learning: concepts, CNN architectures, challenges, applications, future directions

Analysis and Clustering of Residential Customers Energy Behavioral Demand Using Smart Meter Data

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

Machine Learning and Deep Learning in smart manufacturing: The Smart Grid paradigm

Predicting residential energy consumption using CNN-LSTM neural networks

Incorporating Practice Theory in Sub-Profile Models for Short Term Aggregated Residential Load Forecasting

Review of Smart Meter Data Analytics: Applications, Methodologies, and Challenges

Short-Term Residential Load Forecasting Based on LSTM Recurrent Neural Network

The Real-Time Optimisation of DNO Owned Storage Devices on the LV Network for Peak Reduction

Mathematical solutions for electricity networks in a low carbon future