Jonathan Reynolds

Captum: A unified and generic model interpretability library for PyTorch

Narine Kokhlikyan, Vivek Miglani, Miguel Vargas Martín et al. · arXiv (Cornell University) · 2020 · 625 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +21

Predictive modelling for solar thermal energy systems: A comparison of support vector regression, random forest, extra trees and regression trees

Muhammad Waseem Ahmad, Jonathan Reynolds, Yacine Rezgui · Journal of Cleaner Production · 2018 · 579 citations · Full text

Predictive Modelling, Engineering, Extra Trees +22

A zone-level, building energy optimisation combining an artificial neural network, a genetic algorithm, and model predictive control

Jonathan Reynolds, Yacine Rezgui, Alan Kwan et al. · Energy · 2018 · 248 citations · Full text

Engineering, Energy Efficiency, Green Building +19

Operational supply and demand optimisation of a multi-vector district energy system using artificial neural networks and a genetic algorithm

Jonathan Reynolds, Muhammad Waseem Ahmad, Yacine Rezgui et al. · Applied Energy · 2018 · 127 citations · Full text

Engineering, Energy Efficiency, Multi-energy System +16

Upscaling energy control from building to districts: Current limitations and future perspectives

Jonathan Reynolds, Yacine Rezgui, Jean-Laurent Hippolyte · Sustainable Cities and Society · 2017 · 91 citations · Full text