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Open Access research that is tackling the climate emergency...

Addressing the energy challenge confronting society is a strategic research theme for Strathclyde. Researchers from across the institution, spanning multiple disciplines, are therefore working together to understand ways of reducing the environmental impacts of energy use, improving energy efficiency, coping with declining fossil fuel supplies, managing an ageing energy infrastructure, and devising policy or economic levers to achieve higher penetration of renewable energy systems and technologies. Strathprints makes this scholarly research content available Open Access thereby ensuring results are available to everyone in order meet the global climate challenge.

Explore some of this Open Access research from the departments of Mechanical & Aerospace Engineering, Electronic & Electrical Engineering, Civil & Environmental Engineering, Naval Architecture, Ocean & Marine Engineering, Economics, Entrepreneurship and the School of Government & Public Policy.

Or explore all of Strathclyde's Open Access research...

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Group by: Publication Date | Item type | No Grouping
Jump to: 2020 | 2019 | 2017
Number of items: 5.

2020

Cabaneros, Sheen Mclean and Calautit, John Kaiser and Hughes, Ben (2020) Spatial estimation of outdoor NO2 levels in Central London using deep neural networks and a wavelet decomposition technique. Ecological Modelling, 424. 109017. ISSN 0304-3800

Cabaneros, Sheen Mclean and Calautit, John Kaiser and Hughes, Ben (2020) Short- and long-term forecasting of ambient air pollution levels using wavelet-based non-linear autoregressive artificial neural networks with exogenous inputs. International Journal of Environmental Impacts, 3 (2). pp. 143-154. ISSN 2398-2640

2019

Cabaneros, Sheen Mclean and Calautit, John Kaiser and Hughes, Ben Richard (2019) A review of artificial neural network models for ambient air pollution prediction. Environmental Modelling and Software, 119. pp. 285-304. ISSN 1364-8152

2017

Cabaneros, Sheen Mclean S. and Calautit, John Kaiser S. and Hughes, Ben Richard (2017) Hybrid artificial neural network models for effective prediction and mitigation of urban roadside NO2 pollution. Energy Procedia, 142. pp. 3524-3530. ISSN 1876-6102

Calautit, John and Aquino, Angelo and O'Connor, Dominic and Cabaneros, Sheen and Shahzad, Sally and Wazed, Saeed and Garwood, Tom and Calautit, Katrina and Hughes, Ben (2017) Indoor environmental quality (IEQ) analysis of a low energy wind catcher with horizontally-arranged heat transfer devices. Energy Procedia, 142. pp. 2095-2101. ISSN 1876-6102

This list was generated on Sun May 31 23:55:40 2020 BST.