Filter Results
58628 results
Abstract Planning for power systems with high penetrations of variable renewable energy requires higher spatial and temporal granularity. However, most publicly available test systems are of insufficient fidelity for developing methods and tools for high- resolution planning. This paper presents methods to construct open-access test systems of high spatial granularity to more accurately represent current infrastructure and high temporal granularity to represent variability of demand and renewable resources. To demonstrate, a high-resolution test system representing the United States is created using only publicly available data. This test system is validated by running it in a production cost model, with results validated against historical generation to ensure that they are representative. The resulting open source test system can support power system transition planning and aid in development of tools to answer questions around how best to reach decarbonization goals, using the most effective combinations of transmission expansion, renewable generation, and energy storage. Documentation of dataset development A paper describing the process of developing the dataset is available at https://arxiv.org/abs/2002.06155. Please cite as: Y. Xu, Nathan Myhrvold, Dhileep Sivam, Kaspar Mueller, Daniel J. Olsen, Bainan Xia, Daniel Livengood, Victoria Hunt, Benjamin Rouillé d'Orfeuil, Daniel Muldrew, Merrielle Ondreicka, Megan Bettilyon, "U.S. Test System with High Spatial and Temporal Resolution for Renewable Integration Studies," 2020 IEEE PES General Meeting, Montreal, Canada, 2020. Dataset version history 0.1, January 31, 2020: initial data upload. 0.2, March 10, 2020: addition of Tabular Data Package metadata, modifications to cost curves and transmission capacities aimed at more closely matching optimization results to historical data. 0.2.1, March 25, 2020: corrected a bug in the wind profile generation process which was pulling the wrong locations for wind farms outside the Western Interconnection.
Data Types:
  • Dataset
  • File Set
Abstract Planning for power systems with high penetrations of variable renewable energy requires higher spatial and temporal granularity. However, most publicly available test systems are of insufficient fidelity for developing methods and tools for high- resolution planning. This paper presents methods to construct open-access test systems of high spatial granularity to more accurately represent current infrastructure and high temporal granularity to represent variability of demand and renewable resources. To demonstrate, a high-resolution test system representing the United States is created using only publicly available data. This test system is validated by running it in a production cost model, with results validated against historical generation to ensure that they are representative. The resulting open source test system can support power system transition planning and aid in development of tools to answer questions around how best to reach decarbonization goals, using the most effective combinations of transmission expansion, renewable generation, and energy storage. Documentation of dataset development A paper describing the process of developing the dataset is available at https://arxiv.org/abs/2002.06155. Please cite as: Y. Xu, Nathan Myhrvold, Dhileep Sivam, Kaspar Mueller, Daniel J. Olsen, Bainan Xia, Daniel Livengood, Victoria Hunt, Benjamin Rouillé d'Orfeuil, Daniel Muldrew, Merrielle Ondreicka, Megan Bettilyon, "U.S. Test System with High Spatial and Temporal Resolution for Renewable Integration Studies," 2020 IEEE PES General Meeting, Montreal, Canada, 2020. Dataset version history 0.1, January 31, 2020: initial data upload. 0.2, March 10, 2020: addition of Tabular Data Package metadata, modifications to cost curves and transmission capacities aimed at more closely matching optimization results to historical data. 0.2.1, March 25, 2020: [erroneous upload] 0.2.2, March 26, 2020: [erroneous upload]
Data Types:
  • Dataset
  • File Set
Planning for power systems with high penetrations of variable renewable energy requires higher spatial and tempo- ral granularity. However, most publicly available test systems are of insufficient fidelity for developing methods and tools for high- resolution planning. This paper presents methods to construct open-access test systems of high spatial granularity to more accurately represent current infrastructure and high temporal granularity to represent variability of demand and renewable resources. To demonstrate, a high-resolution test system representing the United States is created using only publicly available data. This test system is validated by running it in a production cost model, with results validated against historical generation to ensure that they are representative. The resulting open source test system can support power system transition planning and aid in development of tools to answer questions around how best to reach decarbonization goals, using the most effective combinations of transmission expansion, renewable generation, and energy storage. A paper describing the process of developing the dataset is available at https://arxiv.org/abs/2002.06155. Version history 0.1, January 31, 2020: initial data upload. 0.2, March 10, 2020: addition of Tabular Data Package metadata, modifications to cost curves and transmission capacities aimed at more closely matching optimization results to historical data.
Data Types:
  • Dataset
  • File Set
Abstract Motivation Antibodies are widely used experimental reagents to test expression of proteins. However, they might not always provide the intended tests because they do not specifically bind to the target proteins that their providers designed them for, leading to unreliable and irreproducible research results. While many proposals have been developed to deal with the problem of antibody specificity, they may not scale well to deal with the millions of antibodies that have ever been designed and used in research. In this study, we investigate the feasibility of automatically extracting statements about antibody specificity reported in the literature by text mining, and generate reports to alert scientist users of problematic antibodies. Results We developed a deep neural network system called Antibody Watch and tested its performance on a corpus of more than two thousand articles that report uses of antibodies. We leveraged the Research Resource Identifiers (RRID) to precisely identify antibodies mentioned in an input article and the BERT language model to classify if the antibodies are reported as nonspecific, and thus problematic, as well as inferred the coreference to link statements of specificity to the antibodies that the statements referred to. Our evaluation shows that Antibody Watch can accurately perform both classification and linking with F-scores over 0.8, given only thousands of annotated training examples. The result suggests that with more training, Antibody Watch will provide useful reports about antibody specificity to scientists.
Data Types:
  • Dataset
  • File Set
Compressed fastqs for raw sequences of clinical isolates of Escherichia coli infection from Toronto, Canada in 2018 (Dataset 2). Sequencing details outlined in associated publication. Performed using Illumina NextSeq platform.
Data Types:
  • Document
  • File Set
Materi Kuliah Fisika Dasar 2
Data Types:
  • Interactive Resource
Introduzione - Parte I
Data Types:
  • Interactive Resource
düşük hapı cytotec DÜŞÜK HAPI SİPARİŞİ WHATSAPP 0537 507 54 43 BİLGİ VE SİPARİŞ HATTI ULASINIZ DÜŞÜK HAPI SİPARİŞİ WHATSAPP 0537 507 54 43 BİLGİ VE SİPARİŞ HATTI ULASINIZ istanbul-düşük hapı - Bebek Düşürme Yöntemleri( 0537 507 54 43 ) İLETİŞİM: 7/24 WhatsApp cytotec 200mg istanbul-düşük hapı - Bebek Düşürme Yöntemleri( 0537 507 54 43 ) İLETİŞİM: 7/24 WhatsApp cytotec 200mg Kırklareli Bebek Düşürme Yöntemleri( 0537 507 54 43 ) İLETİŞİM: 7/24 WhatsApp Kırklareli Bebek Düşürme Hapı( 0537 507 54 43) İLETİŞİM: 7/24 WhatsApp Kırklareli Çocuk Düşürme Hapı ( 0537 507 54 43 ) İLETİŞİM: 7/24 WhatsApp Kırklareli Çocuk Düşürme Yöntemleri (0537 507 54 43) İLETİŞİM: 7/24 WhatsApp Kırklareli Cytotec ( 0537 507 54 43 ) İLETİŞİM: 7/24 WhatsApp Kırklareli Cytotec Düşük İlacı ( 0537 507 54 43 ) İLETİŞİM:7/24 WhatsApp Kırklareli Cytotec Etkileri (0537 507 54 43 ) İLETİŞİM: 7/24 WhatsApp Kırklareli Cytotec Fiyatı ( 0537 507 54 43) İLETİŞİM: 7/24 WhatsApp Kırklareli Cytotec Kaç Para ( 0537 507 54 43) İLETİŞİM: 7/24 WhatsApp Kırklareli Cytotec kullananlar( 0537 507 54 43 ) İLETİŞİM: 7/24 WhatsApp Kırklareli Cytotec Nedir ( 0537 507 54 43 ) İLETİŞİM: 7/24 WhatsApp Kırklareli Cytotec Ne İşe Yarar ( 0537 507 54 43) İLETİŞİM: 7/24 WhatsApp Kırklareli Cytotec Satın Al ( 0537 507 54 43 ) İLETİŞİM: 7/24 WhatsApp Kırklareli Cytotec Sipariş ( 0537 507 54 43 ) İLETİŞİM: 7/24 WhatsApp Kırklareli Cytotec Sipariş Hattı (0537 507 54 43) İLETİŞİM: 7/24 WhatsApp Kırklareli Cytotec Düşük Hapı ( 0537 507 54 43 ) İLETİŞİM: 7/24 WhatsApp Kırklareli Düşük Hapı Eczane (0537 507 54 43) İLETİŞİM: 7/24 WhatsApp Kırklareli Düşük İlacı ( 0537 507 54 43) İLETİŞİM: 7/24 WhatsApp Kırklareli Düşük İlaçları ( 0537 507 54 43 ) İLETİŞİM: 7/24 WhatsApp Kırklareli Kürtaj Hapı ( 0537 507 54 43) İLETİŞİM: 7/24 WhatsApp Kırklareli Düşük Nasıl Yapılır ( 0537 507 54 43 ) İLETİŞİM: 7/24 WhatsApp Kırklareli Evde Düşük Yapma (0537 507 54 43) İLETİŞİM: 7/24 WhatsApp Kırklareli Düşük Hapı Fiyatı ( 0537 507 54 43 ) İLETİŞİM: 7/24 WhatsApp Kırklareli Düşük Hapı Fiyatları ( 0537 507 54 43) İLETİŞİM: 7/24 WhatsApp Kırklareli Düşük Hapı Cytotec ( 0537 507 54 43 ) İLETİŞİM: 7/24 WhatsApp Kırklareli Çocuk Nasıl Düşürülür ( 0537 507 54 43 İLETİŞİM: 7/24 WhatsApp Kırklareli hamileliğe Nasıl Son Verilir ( 0537 507 54 43 ) İLETİŞİM: 7/24 WhatsApp Kırklareli Evde Çocuk Düşürme Yolları (0537 507 54 43 ) İLETİŞİM: 7/24 WhatsApp Kırklareli Kürtaj Olmadan Nasıl Düşük Yaparım ( 0537 507 54 43 ) İLETİŞİM: 7/24 WhatsApp Kırklareli Düşük Yapmak İstiyorum ( 0537 507 54 43 ) İLETİŞİM: 7/24 WhatsApp Kırklareli Kürtaj Olmak İstemiyorum ( 0537 507 54 43) İLETİŞİM: 7/24 WhatsApp Çocuk Düşürme Hapı , Çocuk Düşürme Yöntemleri , Cytotec , Cytotec Düşük ilacı , Cytotec Etkileri , Cytotec Fiyatı , Cytotec Kullananlar , Cytotec Nedir , Cytotec Düşük Hapı , Düşük Hapı , Düşük Hapı Eczane , Düşük Hapı Eczane , Düşük ilâcı , Düşük ilaçları , Düşük Nasıl Yapılır , Evde Düşük Yapma , Düşük Hapı Fiyatı , Düşük Hapı Fiyatları , Düşük Hapı Cytotec , istanbul-düşük hapı - Bebek Düşürme Yöntemleri( 0537 507 54 43 ) İLETİŞİM: 7/24 WhatsApp cytotec 200mg DÜŞÜK HAPI SİPARİŞİ WHATSAPP 0537 507 54 43 BİLGİ VE SİPARİŞ HATTI ULASINIZ istanbul-düşük hapı - Bebek Düşürme Yöntemleri( 0537 507 54 43 ) İLETİŞİM: 7/24 WhatsApp cytotec 200mg
Data Types:
  • Interactive Resource
Optik Fisis | Interferensi gelombang, interferensi cahaya (2 celah), interferensi film tipis | Prinsip superposisi gelombang, interferensi konstruktif dan destruktif, sumber koheren, interferensi cahaya (2 celah) Young. Interferensi film tipis, indeks bias.
Data Types:
  • Interactive Resource
Rivoluzione dei trasporti - Liberismo - Condizioni operaie e associazionismo
Data Types:
  • Interactive Resource