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Confinedly tailoring Fe3O4 clusters-NG to tune electromagnetic parameters and microwave absorption with broadened bandwidth

Chemical engineering journal (Lausanne, Switzerland : 1996), 2018-01, Vol.332, p.321-330

2018

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Detection and tracking of pedestrians and vehicles using roadside LiDAR sensors

Transportation research. Part C, Emerging technologies, 2019-03, Vol.100, p.68-87

2019

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Forces for change in higher education and implications for the accounting academy

Journal of accounting education, 2017-09, Vol.40, p.1-18

2017

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Probing soot formation, chemical and physical evolution, and oxidation: A review of in situ diagnostic techniques and needs

Proceedings of the Combustion Institute, 2017, Vol.36 (1), p.717-735

Michelsen, H.A.

2017

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A clustering approach to domestic electricity load profile characterisation using smart metering data

Applied energy, 2015-03, Vol.141, p.190-199

2015

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Recent advances in the analysis of residential electricity consumption and applications of smart meter data

Applied energy, 2017-12, Vol.208, p.402-427

2017

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Conditional aggregated probabilistic wind power forecasting based on spatio-temporal correlation

Applied energy, 2019-12, Vol.256 (C), p.113842, Article 113842

2019

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The Lisbon ranking for smart sustainable cities in Europe

Sustainable cities and society, 2019-01, Vol.44, p.475-487

2019

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Evaluating the impact of general versus vocational education on labor market outcomes in Egypt by means of a regression discontinuity design

Journal of development economics, 2024-01, Vol.166, p.103172, Article 103172

2024

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Time series aggregation for energy system design: Modeling seasonal storage

Applied energy, 2018-03, Vol.213, p.123-135

2018

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Pedagogical content knowledge reconceived: Bringing curriculum thinking into the conversation on teachers' content knowledge

Teaching and teacher education, 2018-05, Vol.72, p.155-164

Deng, Zongyi

2018

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Active colloidal suspensions: Clustering and phase behavior

Journal of non-crystalline solids, 2015-01, Vol.407, p.367-375

2015

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Hybrid method for remaining useful life prediction in wind turbine systems

Renewable energy, 2018-02, Vol.116, p.173-187

2018

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Association rule mining based quantitative analysis approach of household characteristics impacts on residential electricity consumption patterns

Energy conversion and management, 2018-09, Vol.171 (C), p.839-854

2018

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A review of unsupervised statistical learning and visual analytics techniques applied to performance analysis of non-residential buildings

Renewable & sustainable energy reviews, 2018-01, Vol.81, p.1365-1377

2018

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Clustering representative days for power systems generation expansion planning: Capturing the effects of variable renewables and energy storage

Applied energy, 2019-11, Vol.253, p.113603, Article 113603

2019

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Energy poverty, health and education outcomes: Evidence from the developing world

Energy economics, 2021-09, Vol.101, p.105447, Article 105447

2021

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Provincial-level carbon emission drivers and emission reduction strategies in China: Combining multi-layer LMDI decomposition with hierarchical clustering

Journal of cleaner production, 2017-12, Vol.169, p.178-190

2017

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Energy efficient clustering and routing algorithms for wireless sensor networks: Particle swarm optimization approach

Engineering applications of artificial intelligence, 2014-08, Vol.33, p.127-140

2014

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Comparison of clustering approaches for domestic electricity load profile characterisation - Implications for demand side management

Energy (Oxford), 2019-08, Vol.180, p.665-677

2019

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A data-driven approach for discovering heat load patterns in district heating

Applied energy, 2019-10, Vol.252, p.113409, Article 113409

2019

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Mechanistic origins of the high-pressure inhibition of methanol dehydration rates in small-pore acidic zeolites

Journal of catalysis, 2019-12, Vol.380, p.161-177

2019

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Clustering-based analysis for residential district heating data

Energy conversion and management, 2018-06, Vol.165, p.840-850

2018

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Subsurface temperature estimation from remote sensing data using a clustering-neural network method

Remote sensing of environment, 2019-08, Vol.229, p.213-222

2019

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Comparison of clustering algorithms for the selection of typical demand days for energy system synthesis

Renewable energy, 2018-12, Vol.129, p.570-582

2018

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Confinedly tailoring Fe3O4 clusters-NG to tune electromagnetic parameters and microwave absorption with broadened bandwidth

Detection and tracking of pedestrians and vehicles using roadside LiDAR sensors

Forces for change in higher education and implications for the accounting academy

Probing soot formation, chemical and physical evolution, and oxidation: A review of in situ diagnostic techniques and needs

A clustering approach to domestic electricity load profile characterisation using smart metering data

Recent advances in the analysis of residential electricity consumption and applications of smart meter data

Conditional aggregated probabilistic wind power forecasting based on spatio-temporal correlation

The Lisbon ranking for smart sustainable cities in Europe

Evaluating the impact of general versus vocational education on labor market outcomes in Egypt by means of a regression discontinuity design

Time series aggregation for energy system design: Modeling seasonal storage

Pedagogical content knowledge reconceived: Bringing curriculum thinking into the conversation on teachers' content knowledge

Active colloidal suspensions: Clustering and phase behavior

Hybrid method for remaining useful life prediction in wind turbine systems

Association rule mining based quantitative analysis approach of household characteristics impacts on residential electricity consumption patterns

A review of unsupervised statistical learning and visual analytics techniques applied to performance analysis of non-residential buildings

Clustering representative days for power systems generation expansion planning: Capturing the effects of variable renewables and energy storage

Energy poverty, health and education outcomes: Evidence from the developing world

Provincial-level carbon emission drivers and emission reduction strategies in China: Combining multi-layer LMDI decomposition with hierarchical clustering

Energy efficient clustering and routing algorithms for wireless sensor networks: Particle swarm optimization approach

Comparison of clustering approaches for domestic electricity load profile characterisation - Implications for demand side management

A data-driven approach for discovering heat load patterns in district heating

Mechanistic origins of the high-pressure inhibition of methanol dehydration rates in small-pore acidic zeolites

Clustering-based analysis for residential district heating data

Subsurface temperature estimation from remote sensing data using a clustering-neural network method

Comparison of clustering algorithms for the selection of typical demand days for energy system synthesis

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