Suchergebnisse - "Applied energy"

A review of wind speed and wind power forecasting with deep neural networks von Wang, Yun, Zou, Runmin, Liu, Fang, Zhang, Lingjun, Liu, Qianyi

“… The use of wind power, a pollution-free and renewable form of energy, to generate electricity has attracted increasing attention. However, intermittent …”
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Global low-carbon energy transition in the post-COVID-19 era von Tian, Jinfang, Yu, Longguang, Xue, Rui, Zhuang, Shan, Shan, Yuli

“… •We provide an overview of the dynamics between energy transition and COVID-19.•We identify the challenges and opportunities for energy transition under …”
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Technologies and policies to decarbonize global industry: Review and assessment of mitigation drivers through 2070 von Rissman, Jeffrey, Bataille, Chris, Masanet, Eric, Aden, Nate, Morrow, William R., Zhou, Nan, Elliott, Neal, Dell, Rebecca, Heeren, Niko, Huckestein, Brigitta, Cresko, Joe, Miller, Sabbie A., Roy, Joyashree, Fennell, Paul, Cremmins, Betty, Koch Blank, Thomas, Hone, David, Williams, Ellen D., de la Rue du Can, Stephane, Sisson, Bill, Williams, Mike, Katzenberger, John, Burtraw, Dallas, Sethi, Girish, Ping, He, Danielson, David, Lu, Hongyou, Lorber, Tom, Dinkel, Jens, Helseth, Jonas

“… •Technology and policies enable net zero industrial greenhouse gas emissions by 2070.•Electrification, use of hydrogen, energy efficiency, and carbon …”
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Artificial intelligence based anomaly detection of energy consumption in buildings: A review, current trends and new perspectives von Himeur, Yassine, Ghanem, Khalida, Alsalemi, Abdullah, Bensaali, Faycal, Amira, Abbes

“… Enormous amounts of data are being produced everyday by sub-meters and smart sensors installed in residential buildings. If leveraged properly, that data could …”
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A review of machine learning in building load prediction von Zhang, Liang, Wen, Jin, Li, Yanfei, Chen, Jianli, Ye, Yunyang, Fu, Yangyang, Livingood, William

“… •This paper reviews building load prediction with machine learning techniques.•Review and technical papers are searched by Sub-keyword Synonym Searching …”
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Low carbon optimal operation of integrated energy system based on carbon capture technology, LCA carbon emissions and ladder-type carbon trading von Wang, Rutian, Wen, Xiangyun, Wang, Xiuyun, Fu, Yanbo, Zhang, Yu

“… •Greenhouse gas emissions are analyzed by the life cycle assessment.•Carbon emissions are controlled by the ladder-type carbon trading mechanism.•Economics of …”
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Understanding farmers’ intention and willingness to install renewable energy technology: A solution to reduce the environmental emissions of agriculture von Elahi, Ehsan, Khalid, Zainab, Zhang, Zhixin

“… •The article examines farmers’ intention & willingness to install a PV water pump.•Cost of the PV pump was negatively associated with farmers’ intention to …”
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Embodied GHG emissions of buildings – The hidden challenge for effective climate change mitigation von Röck, Martin, Saade, Marcella Ruschi Mendes, Balouktsi, Maria, Rasmussen, Freja Nygaard, Birgisdottir, Harpa, Frischknecht, Rolf, Habert, Guillaume, Lützkendorf, Thomas, Passer, Alexander

“… [Display omitted] •Systematic analysis of 650+ building LCA cases on life cycle greenhouse gas emissions.•Buildings life cycle GHG emissions are reducing due …”
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Impacts of COVID-19 on energy demand and consumption: Challenges, lessons and emerging opportunities von Jiang, Peng, Fan, Yee Van, Klemeš, Jiří Jaromír

“… •Impacts of COVID-19 on energy demand and consumption have been substantial.•The changes in energy intensity (GDP/Mtoe) presented spatial-temporal …”
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Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark von Lago, Jesus, Marcjasz, Grzegorz, De Schutter, Bart, Weron, Rafał

“… While the field of electricity price forecasting has benefited from plenty of contributions in the last two decades, it arguably lacks a rigorous approach to …”
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Does carbon emissions trading promote green technology innovation in China? von Zhang, Wei, Li, Guoxiang, Guo, Fanyong

“… •Carbon emissions trading inhibits green technology innovation in the short run.•Carbon emissions trading will reduce the carbon emissions and carbon intensity …”
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Short-term multi-energy load forecasting for integrated energy systems based on CNN-BiGRU optimized by attention mechanism von Niu, Dongxiao, Yu, Min, Sun, Lijie, Gao, Tian, Wang, Keke

“… •The dynamic coupling relationship among multi-energy loads was analyzed.•The CNN-BiGRU-Attention model was proposed for multi-energy loads forecasting.•Hard …”
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Peer-to-peer energy systems for connected communities: A review of recent advances and emerging challenges von Tushar, Wayes, Yuen, Chau, Saha, Tapan K., Morstyn, Thomas, Chapman, Archie C., Alam, M. Jan E., Hanif, Sarmad, Poor, H. Vincent

“… After a century of relative stability in the electricity industry, extensive deployment of distributed energy resources and recent advances in computation and …”
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A review of non-probabilistic machine learning-based state of health estimation techniques for Lithium-ion battery von Sui, Xin, He, Shan, Vilsen, Søren B., Meng, Jinhao, Teodorescu, Remus, Stroe, Daniel-Ioan

“… •A comprehensive review of non-probabilistic machine learning for battery SOH estimation is presented.•For every algorithm, the principle derivation process is …”
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Research progress, challenges and prospects of fault diagnosis on battery system of electric vehicles von Xiong, Rui, Sun, Wanzhou, Yu, Quanqing, Sun, Fengchun

“… •Progress of fault diagnosis on battery system rather than just cell is reviewed.•Causes and effects of various types of faults in the battery system are …”
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COA-CNN-LSTM: Coati optimization algorithm-based hybrid deep learning model for PV/wind power forecasting in smart grid applications von Abou Houran, Mohamad, Salman Bukhari, Syed M., Zafar, Muhammad Hamza, Mansoor, Majad, Chen, Wenjie

“… Power prediction is now a crucial part of contemporary energy management systems, which is important for the organization and administration of renewable …”
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Reinforcement learning for building controls: The opportunities and challenges von Wang, Zhe, Hong, Tianzhen

“… •Reinforcement learning has been explored for building control applications.•We reviewed studies using reinforcement learning for building controls.•We …”
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China carbon emission accounts 2020-2021 von Xu, Jinghang, Guan, Yuru, Oldfield, Jonathan, Guan, Dabo, Shan, Yuli

“… In the past a few years, the outbreak of the COVID-19 epidemic has significantly changed global emission patterns and increased the challenges in emission …”
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The state-of-the-art review on energy harvesting from flow-induced vibrations von Wang, Junlei, Geng, Linfeng, Ding, Lin, Zhu, Hongjun, Yurchenko, Daniil

“… •The concepts of energy harvesting from flow-induced vibrations are classified.•The methods and principles of flow-induced vibrations energy harvesting are …”
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Wind power forecasting considering data privacy protection: A federated deep reinforcement learning approach von Li, Yang, Wang, Ruinong, Li, Yuanzheng, Zhang, Meng, Long, Chao

“… In a modern power system with an increasing proportion of renewable energy, wind power prediction is crucial to the arrangement of power grid dispatching plans …”
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