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Governing the Global Energy Transformation [PDF]
An effective and efficient governance is key for the global energy transformation. We argue that the process under the Paris Agreement, its ‘rulebook’ and the nationally determined contributions (NDCs) will have to be accompanied by focused and tailored governance mechanisms in the energy realm.
Pastukhova M, Westphal K.
europepmc +3 more sources
On the Lorentz Transformations of Momentum and Energy [PDF]
Motivated by ultra-high-energy cosmic ray physics, we discuss all the possible alternatives to the familiar Lorentz transformations of the momentum and the energy of a particle. Starting from natural physical requirements, we exclude all the possibilities, apart from the ones which arise from the usual four-vector transformations by means of a change ...
M. Toller
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Transformers for Energy Forecast
Forecasting energy consumption models allow for improvements in building performance and reduce energy consumption. Energy efficiency has become a pressing concern in recent years due to the increasing energy demand and concerns over climate change.
Hugo S. Oliveira, Helder P. Oliveira
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Mass production of sustainable biofuels replacing fossil fuels will significantly reduce global greenhouse gas emissions. However, biomass feedstock variability, availability, and affordability pose significant risks for the sustainable production of ...
Yudong Li+6 more
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Energy systems transformation [PDF]
SignificanceEnergy systems based on fossil fuels and uranium have brought about modernity and its specific agro-industrial metabolism. Although this achievement creates a deep lock-in effect, collateral damages such as climate change and large-scale contamination cast doubts on the sustainability of the current mode of global socioeconomic operation ...
Hans Joachim Schellnhuber+3 more
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Climate warming and environmental problems caused by the excessive consumption of fossil energy and massive CO2 emissions have seriously damaged the human living environment.
Deqiang Ji+5 more
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This article is devoted to providing a new feasible route to realize carbon dioxide reduction and resource utilization. With the wide electrochemical window, high thermal stability and fast mass transfer rate of molten salt electrolyte, new carbon-based ...
Deqiang Ji+5 more
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Our work combines aspects of three promising paradigms in machine learning, namely, attention mechanism, energy-based models, and associative memory. Attention is the power-house driving modern deep learning successes, but it lacks clear theoretical foundations. Energy-based models allow a principled approach to discriminative and generative tasks, but
Hoover, Benjamin+7 more
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2D Transformations of Energy Signals for Energy Disaggregation
The aim of Non-Intrusive Load Monitoring is to estimate the energy consumption of individual electrical appliances by disaggregating the overall power consumption that has been sampled from a smart meter at a house or commercial/industrial building. Last decade’s developments in deep learning and the utilization of Convolutional Neural Networks have ...
Pascal A. Schirmer, Iosif Mporas
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Governance learning from collective actions for just climate adaptation in cities
Environmental policy research fails to integrate procedural and recognitional justice perspectives and collective actions in governance learning for just climate adaptations. Drawing on the insights of two cities experiencing climate impacts differently,
Mahir Yazar+3 more
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