Ho Chi Minh City faces significant and growing flood risk. Recent risk reduction efforts may be insufficient as climate and socio-economic conditions diverge from projections made when those efforts were initially planned. This study demonstrates how robust decision making can help Ho Chi Minh...

This paper describes the methodology and findings for the extreme hazard exposure analysis of the Chinese wastewater sector to flooding and earthquakes hazards. This analysis is undertaken for changing flooding, under climate scenarios, and earthquake exposure of a spatially accurate wastewater...

Ho Chi Minh City faces significant and growing flood risk. Recent risk reduction efforts may be insufficient as climate and socio-economic conditions diverge from projections made when those efforts were initially planned. This study demonstrates how robust decision making can help Ho Chi Minh...

Technological revolutions have increased the world’s wealth to a level that was once unimaginable. They have done so unevenly, however, and in ways that have accelerated climate change. Technology Transfer and Innovation for Low-Carbon Development argues that most of the emissions reductions...

This paper describes the methodology and findings for the extreme hazard exposure analysis of the Chinese wastewater sector to flooding and earthquakes hazards. This analysis is undertaken for changing flooding, under climate scenarios, and earthquake exposure of a spatially accurate wastewater...

Traditional carbonate-based electrolytes are not suitable for high voltage lithium metal batteries (LMBs), which seriously hinders the development of high-energy density LMBs. Here, a novel flame retardant fluorine-rich electrolyte (termed FFT) composed of 1.2 M lithium hexafluorophosphate (LiPF...

With the aim of understanding the usefulness of cross-country interactions and long memory dependencies in exchange rate return forecast, we propose, compare, and evaluate various neural network architectures. These architectures include the proposed deep latent factor (DLF) and deep prediction...

We propose a general taxonomy of the political economy challenges to wind power development and integration, highlighting the implications in terms of actors, interests, and risks. Applying this framework to three functions in China's electricity sector - planning and project approval, generator...

Electric load forecasting is a fundamental business process and well-established analytical problem in the utility industry. Due to various characteristics of electricity demand series and the business needs, electric load forecasting is a classical textbook example and popular application field...