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A comprehensive overview on the data driven and large scale based approaches for forecasting of building energy demand: A review

Energy and buildings, 2018-04, Vol.165, p.301-320

2018

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Smart energy forecasting strategy with four machine learning models for climate-sensitive and non-climate sensitive conditions

Energy (Oxford), 2020-05, Vol.198, p.117283, Article 117283

2020

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Ensemble 1-D CNN diagnosis model for VRF system refrigerant charge faults under heating condition

Energy and buildings, 2020-10, Vol.224, p.110256, Article 110256

2020

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Improving prediction performance for indoor temperature in public buildings based on a novel deep learning method

Building and environment, 2019-01, Vol.148, p.128-135

2019

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Formation of Polar Crown Filament Magnetic Fields by Supergranular Helicity Injection

The Astrophysical journal, 2024-04, Vol.965 (2), p.160

2024

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GSA： Genome Sequence Archive

Genomics, proteomics & bioinformatics, 2017-02, Vol.15 (1), p.14-18

2017

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The Genome Sequence Archive Family: Toward Explosive Data Growth and Diverse Data Types

Genomics, proteomics & bioinformatics, 2021-08, Vol.19 (4), p.578-583

2021

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Data-driven sensitivity analysis and electricity consumption prediction for water source heat pump system using limited information

Building simulation, 2021-08, Vol.14 (4), p.1005-1016

2021

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Experimental study of frosting cleaning process on superhydrophobic copper surface

International journal of refrigeration, 2023-07, Vol.151, p.87-96

2023

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A novel efficient optimization algorithm for parameter estimation of building thermal dynamic models

Building and environment, 2019-04, Vol.153, p.233-240

2019

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Investigation of a novel thermoelectric radiant air-conditioning system

Energy and buildings, 2013-04, Vol.59, p.123-132

2013

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Template-Directed Synthesis of Flexible Porphyrin Nanocage and Nanorings via One-Step Olefin Metathesis

Journal of the American Chemical Society, 2014-10, Vol.136 (43), p.15126-15129

2014

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Measurement of thermal diffusivity/thermal contact resistance using laser photothermal method at cryogenic temperatures

Applied thermal engineering, 2017-01, Vol.111, p.768-775

2017

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Effect of early life stress on anxiety and depressive behaviors in adolescent mice

Brain and behavior, 2020-03, Vol.10 (3), p.e01526-n/a

2020

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Short and medium-term forecasting of cooling and heating load demand in building environment with data-mining based approaches

Energy and buildings, 2018-05, Vol.166, p.460-476

2018

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The evolution of cooperation based on indirect reciprocity and spatial locality in continuous space

Artificial life and robotics, 2020-08, Vol.25 (3), p.407-418

2020

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Rapid-acting antidepressants targeting modulation of the glutamatergic system: clinical and preclinical evidence and mechanisms

General Psychiatry, 2022-12, Vol.35 (6), p.e100922-e100922

2022

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Potential of three variant machine-learning models for forecasting district level medium-term and long-term energy demand in smart grid environment

Energy (Oxford), 2018-10, Vol.160, p.1008-1020

2018

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Deep learning for multi-scale smart energy forecasting

Energy (Oxford), 2019-05, Vol.175, p.98-112

2019

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A hybrid data mining approach for anomaly detection and evaluation in residential buildings energy data

Energy and buildings, 2020-05, Vol.215, p.109864, Article 109864

2020

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Fault diagnosis of VRF air-conditioning system based on improved Gaussian mixture model with PCA approach

International journal of refrigeration, 2020-10, Vol.118, p.1-11

2020

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A review on machine learning forecasting growth trends and their real-time applications in different energy systems

Sustainable cities and society, 2020-03, Vol.54, p.102010, Article 102010

2020

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Chiller sensor fault detection using a self-Adaptive Principal Component Analysis method

Energy and buildings, 2012-11, Vol.54, p.252-258

2012

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The step-change cooling performance of miniature thermoelectric module for pulse laser

Energy conversion and management, 2014-04, Vol.80, p.39-45

2014

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Nonlinear autoregressive and random forest approaches to forecasting electricity load for utility energy management systems

Sustainable cities and society, 2019-02, Vol.45, p.460-473

2019

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A comprehensive overview on the data driven and large scale based approaches for forecasting of building energy demand: A review

Smart energy forecasting strategy with four machine learning models for climate-sensitive and non-climate sensitive conditions

Ensemble 1-D CNN diagnosis model for VRF system refrigerant charge faults under heating condition

Improving prediction performance for indoor temperature in public buildings based on a novel deep learning method

Formation of Polar Crown Filament Magnetic Fields by Supergranular Helicity Injection

GSA： Genome Sequence Archive

The Genome Sequence Archive Family: Toward Explosive Data Growth and Diverse Data Types

Data-driven sensitivity analysis and electricity consumption prediction for water source heat pump system using limited information

Experimental study of frosting cleaning process on superhydrophobic copper surface

A novel efficient optimization algorithm for parameter estimation of building thermal dynamic models

Investigation of a novel thermoelectric radiant air-conditioning system

Template-Directed Synthesis of Flexible Porphyrin Nanocage and Nanorings via One-Step Olefin Metathesis

Measurement of thermal diffusivity/thermal contact resistance using laser photothermal method at cryogenic temperatures

Effect of early life stress on anxiety and depressive behaviors in adolescent mice

Short and medium-term forecasting of cooling and heating load demand in building environment with data-mining based approaches

The evolution of cooperation based on indirect reciprocity and spatial locality in continuous space

Rapid-acting antidepressants targeting modulation of the glutamatergic system: clinical and preclinical evidence and mechanisms

Potential of three variant machine-learning models for forecasting district level medium-term and long-term energy demand in smart grid environment

Deep learning for multi-scale smart energy forecasting

A hybrid data mining approach for anomaly detection and evaluation in residential buildings energy data

Fault diagnosis of VRF air-conditioning system based on improved Gaussian mixture model with PCA approach

A review on machine learning forecasting growth trends and their real-time applications in different energy systems

Chiller sensor fault detection using a self-Adaptive Principal Component Analysis method

The step-change cooling performance of miniature thermoelectric module for pulse laser

Nonlinear autoregressive and random forest approaches to forecasting electricity load for utility energy management systems

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