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Exploring trade-offs between landscape impact, land use and resource quality for onshore variable renewable energy: An application to Great Britain
McKenna, R., Mulalic, I., Soutar, I., Weinand, J., Price, J., Petrović, S., Mainzer, K.
Energy, vol. 250, 123754
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https://doi.org/10.1016/j.energy.2022.123754
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http://aura.abdn.ac.uk/bitstream/2164/20112/1/McKenna_etal_E_Exploring_Trade_offs_between_VOR.pdf
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Investigation of the impact of threshold pressure gradient on gas production from hydrate deposits
Cheng, L., Qin, X., Ma, C., Yu, L., Geng, L., Bian, H., Zhang, K., Zhou, Y.
Fuel, vol. 319, 123569
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https://doi.org/10.1016/j.fuel.2022.123569
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http://aura.abdn.ac.uk/bitstream/2164/20002/1/Lu_etal_F_Investigation_Of_The_AAM.pdf
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LC DC Circuit Breaker based on Precharged Capacitor Commutation
Jovcic, D.
Electric Power Systems Research, vol. 208, 107896
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https://doi.org/10.1016/j.epsr.2022.107896
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http://aura.abdn.ac.uk/bitstream/2164/20213/1/Jovcic_EPSR_LC_DC_Circuit_AAM.pdf
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Machine learning for analysis of real nuclear plant data in the frequency domain
Kollias, S., Yu, M., Wingate, J., Durrant, A., Leontidis, G., Alexandridis, G., Stafylopatis, A., Mylonakis, A., Vinai, P., Demaziere, C.
Annals of Nuclear Energy, vol. 177, 109293
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https://doi.org/10.1016/j.anucene.2022.109293
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http://aura.abdn.ac.uk/bitstream/2164/18771/2/Kollias_etal_ANE_Machine_Learning_for_VOR.pdf
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Multiobjective optimization of hybrid wind-photovoltaic plants with battery energy storage system: Current situation and possible regulatory changes
Souza Rocha, L. C., Rotella Junior, P., Aquila, G., Maheri, A.
Journal of Energy Storage, vol. 51, 104467
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https://doi.org/10.1016/j.est.2022.104467
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http://aura.abdn.ac.uk/bitstream/2164/23097/1/Rocha_etal_JES_Multiobjective_Optimization_Of_AAM.pdf
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The implications of landscape visual impact on future highly renewable power systems: a case study for Great Britain
Price, J., Mainzer, K., Petrović, S., Zeyringer, M., Mckenna, R.
IEEE Transactions on Power Systems, vol. 37, no. 4, pp. 3311 - 3320
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https://doi.org/10.1109/TPWRS.2020.2992061
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Exploring informants’ perspectives on the role of crowdsourced active travel data
Alattar, M. A., Cottrill, C., Beecroft, M.
Transportation Planning and Technology, vol. 45, no. 3, pp. 226-250
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https://doi.org/10.1080/03081060.2022.2092736
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http://aura.abdn.ac.uk/bitstream/2164/22494/1/Anwar_etal_TPT_Exploring_Informants_Perspectives_AAM.pdf
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Historic drivers of onshore wind power siting and inevitable future trade-offs
Weinand, J. M., Naber, E., McKenna, R., Lehmann, P., Kotzur, L., Stolten, D.
Environmental Research Letters, vol. 17, no. 7, 074018
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https://doi.org/10.1088/1748-9326/ac7603
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http://aura.abdn.ac.uk/bitstream/2164/19142/1/Weinand_etal_ER_Historic_Drivers_Of_VoR.pdf
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Rheological characterization of nanofluids
Nair, V. C., Jadhawar, P., Gupta, P.
Nanotechnology for CO2 Utilization in Oilfield Applications. Sharma, T., Chaturvedi, K. R., Trivedi, J. J. (eds.). Elsevier, pp. 37-57, 21 pages
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https://doi.org/10.1016/B978-0-323-90540-4.00007-7
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Development of a Data-Driven Scientific Methodology: From Articles to Chemometric Data Products
Carballo-Meilan, M., McDonald, L., Pragot, W., Starnawski, L. M., Saleemi, A. N., Afzal, W.
Chemometrics and Intelligent Laboratory Systems, vol. 225, 104555
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https://doi.org/10.1016/j.chemolab.2022.104555
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http://aura.abdn.ac.uk/bitstream/2164/20371/1/Carballo_Meilan_development_of_a_AAM.pdf