Nudges for privacy and security: Understanding and assisting users' choices online
Advancements in information technology often task users with complex and consequential
privacy and security decisions. A growing body of research has investigated individuals' …
privacy and security decisions. A growing body of research has investigated individuals' …
A review and analysis of regression and machine learning models on commercial building electricity load forecasting
Electricity load forecasting is an important tool which can be utilized to enable effective
control of commercial building electricity loads. Accurate forecasts of commercial building …
control of commercial building electricity loads. Accurate forecasts of commercial building …
Expert elicitation survey predicts 37% to 49% declines in wind energy costs by 2050
Wind energy has experienced accelerated cost reduction over the past five years—far
greater than predicted in a 2015 expert elicitation. Here we report results from a new survey …
greater than predicted in a 2015 expert elicitation. Here we report results from a new survey …
A novel approach to uncertainty quantification in groundwater table modeling by automated predictive deep learning
Uncertainty quantification (UQ) is an important benchmark to assess the performance of
artificial intelligence (AI) and particularly deep learning ensembled-based models. However …
artificial intelligence (AI) and particularly deep learning ensembled-based models. However …
A hybrid ensemble-based automated deep learning approach to generate 3D geo-models and uncertainty analysis
A Abbaszadeh Shahri, S Chunling… - Engineering with …, 2024 - Springer
There is an increasing interest in creating high-resolution 3D subsurface geo-models using
multisource retrieved data, ie, borehole, geophysical techniques, geological maps, and rock …
multisource retrieved data, ie, borehole, geophysical techniques, geological maps, and rock …
Recent advances in electricity price forecasting: A review of probabilistic forecasting
Since the inception of competitive power markets two decades ago, electricity price
forecasting (EPF) has gradually become a fundamental process for energy companies' …
forecasting (EPF) has gradually become a fundamental process for energy companies' …
How to treat uncertainties in life cycle assessment studies?
Purpose The use of life cycle assessment (LCA) as a decision support tool can be hampered
by the numerous uncertainties embedded in the calculation. The treatment of uncertainty is …
by the numerous uncertainties embedded in the calculation. The treatment of uncertainty is …
A practical guide to structured expert elicitation using the IDEA protocol
Expert judgement informs a variety of important applications in conservation and natural
resource management, including threatened species management, environmental impact …
resource management, including threatened species management, environmental impact …
[HTML][HTML] Sensitivity analysis of environmental models: A systematic review with practical workflow
Sensitivity Analysis (SA) investigates how the variation in the output of a numerical model
can be attributed to variations of its input factors. SA is increasingly being used in …
can be attributed to variations of its input factors. SA is increasingly being used in …
A critical review on supply chain risk–Definition, measure and modeling
Economic systems are increasingly prone to complexity and uncertainty. Therefore, making
well-informed decisions requires risk analysis, control and mitigation. In some areas such as …
well-informed decisions requires risk analysis, control and mitigation. In some areas such as …