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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
Number of items: 4.

2020

Afrasiabi, Mousa and Mohammadi, Mohammad and Rastegar, Mohammad and Stankovic, Lina and Afrasiabi, Shahabodin and Khazaei, Mohammad (2020) Deep-based conditional probability density function forecasting of residential loads. IEEE Transactions on Smart Grid. ISSN 1949-3053

Herrero-Bermello, Alaine and Li, Jiangfeng and Khazaei, Mohammad and Grinberg, Yuri and Villafranca-Velasco, Aitor and Vachon, Martin and Cheben, Pavel and Stankovic, Lina and Stankovic, Vladimir and Xu, Dan-Xia and Schmid, Jens H. and Alonso-Ramos, Carlos A. (2020) Smart on-chip Fourier-transform spectrometers harnessing machine learning algorithms. In: SPIE Photonics West OPTO, 2020-02-01 - 2020-02-06.

2019

Khazaei, M. and Stankovic, L. and Stankovic, V.; Sharma, Dinesh, ed. (2019) Trends and challenges in smart metering analytics. In: Review of Business and Technology Research (RBTR). Review of Business and Technology Research, 16 (2). Modern Technology and Management, Inc. USA, MUS, pp. 111-117.

Herrero-Bermello, Alaine and Li, Jiangfeng and Khazaei, Mohammad and Grinberg, Yuri and Vellasco, Aitor V. and Vachon, Martin and Cheben, Pavel and Stankovic, Lina and Stankovic, Vladimir and Xu, Dan-Xia and Schmid, Jens H. and Alonso-Ramos, Carlos (2019) On-chip Fourier-transform spectrometers and machine learning : a new route to smart photonic sensors. Optics Letters. ISSN 0146-9592 (In Press)

This list was generated on Sun May 31 14:49:19 2020 BST.