Trend analyses of regional time series of temperatures and rainfall of the Tapi basin
Journal of Agrometeorology, 2020 Climate change information at the scale of basin is vital for planning, development and use of water. The Tapi basin is climatically responsive. Hydrological response of a basin is based mainly on rainfall and temperature.
GANESH D. KALE
doaj +1 more source
Trend analysis of the airborne fraction and sink rate of anthropogenically released CO2 [PDF]
Biogeosciences, 2019 Is the fraction of anthropogenically released CO2 that remains in the atmosphere (the airborne fraction) increasing? Is the rate at which the ocean and land sinks take up CO2 from the atmosphere decreasing?
M. Bennedsen +5 more
doaj +1 more source
The Role of Low Temperature Waste Heat Recovery in Achieving 2050 Goals: A Policy Positioning Paper
Energies, 2020 Urban waste heat recovery, in which low temperature heat from urban sources is recovered for use in a district heat network, has a great deal of potential in helping to achieve 2050 climate goals.
Edward Wheatcroft +4 more
doaj +1 more source
Challenges of integrated variance estimation in emerging stock markets [PDF]
Zbornik radova Ekonomskog fakulteta u Rijeci : časopis za ekonomsku teoriju i praksu, 2019 Estimating integrated variance, using high frequency data, requires modelling experience and data crunching skills. Although intraday returns have attracted much attention in recent years, handling these data is challenging because of their ...
Josip Arnerić, Mario Matković
doaj +1 more source
Transformers in Time Series: A Survey [PDF]
International Joint Conference on Artificial Intelligence, 2022 Transformers have achieved superior performances in many tasks in natural language processing and computer vision, which also triggered great interest in the time series community.
Qingsong Wen +6 more
semanticscholar +1 more source
TS2Vec: Towards Universal Representation of Time Series [PDF]
AAAI Conference on Artificial Intelligence, 2021 This paper presents TS2Vec, a universal framework for learning representations of time series in an arbitrary semantic level. Unlike existing methods, TS2Vec performs contrastive learning in a hierarchical way over augmented context views, which enables ...
Zhihan Yue +6 more
semanticscholar +1 more source
Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks [PDF]
Knowledge Discovery and Data Mining, 2020 Modeling multivariate time series has long been a subject that has attracted researchers from a diverse range of fields including economics, finance, and traffic. A basic assumption behind multivariate time series forecasting is that its variables depend
Zonghan Wu +5 more
semanticscholar +1 more source
Investor sentiment and foreign financial flows: Evidence from South Africa [PDF]
Zbornik radova Ekonomskog fakulteta u Rijeci : časopis za ekonomsku teoriju i praksu, 2019 Foreign financial flows to emerging markets have increasingly become important following the opening of financial markets globally. These financial flows are a function of a country’s fundamentals related to future productivity.
Hilary Tinotenda Muguto +2 more
doaj +1 more source
Low Density Neutron Star Matter with Quantum Molecular Dynamics: The Role of Isovector Interactions
Universe, 2022 The effect of isospin-dependent nuclear forces on the inner crust of neutron stars is modeled within the framework of Quantum Molecular Dynamics (QMD).
Parit Mehta +4 more
doaj +1 more source
Contracts, Business Models and Barriers to Investing in Low Temperature District Heating Projects
Applied Sciences, 2019 Approximately 1.2 EJ of energy are potentially available for recovery each year from urban heat sources in the EU. This corresponds to more than 10 percent of the EU’s total energy demand for heat and hot water.
Kristina Lygnerud +2 more
doaj +1 more source