Nudges for privacy and security: Understanding and assisting users' choices online

A Acquisti, I Adjerid, R Balebako… - ACM Computing …, 2017 - dl.acm.org
Advancements in information technology often task users with complex and consequential
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

B Yildiz, JI Bilbao, AB Sproul - Renewable and Sustainable Energy …, 2017 - Elsevier
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 …

Expert elicitation survey predicts 37% to 49% declines in wind energy costs by 2050

R Wiser, J Rand, J Seel, P Beiter, E Baker, E Lantz… - Nature Energy, 2021 - nature.com
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 …

A novel approach to uncertainty quantification in groundwater table modeling by automated predictive deep learning

A Abbaszadeh Shahri, C Shan, S Larsson - Natural Resources Research, 2022 - Springer
Uncertainty quantification (UQ) is an important benchmark to assess the performance of
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 …

Recent advances in electricity price forecasting: A review of probabilistic forecasting

J Nowotarski, R Weron - Renewable and Sustainable Energy Reviews, 2018 - Elsevier
Since the inception of competitive power markets two decades ago, electricity price
forecasting (EPF) has gradually become a fundamental process for energy companies' …

How to treat uncertainties in life cycle assessment studies?

E Igos, E Benetto, R Meyer, P Baustert… - The International Journal …, 2019 - Springer
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 …

A practical guide to structured expert elicitation using the IDEA protocol

V Hemming, MA Burgman, AM Hanea… - Methods in Ecology …, 2018 - Wiley Online Library
Expert judgement informs a variety of important applications in conservation and natural
resource management, including threatened species management, environmental impact …

[HTML][HTML] Sensitivity analysis of environmental models: A systematic review with practical workflow

F Pianosi, K Beven, J Freer, JW Hall, J Rougier… - … Modelling & Software, 2016 - Elsevier
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 …

A critical review on supply chain risk–Definition, measure and modeling

I Heckmann, T Comes, S Nickel - Omega, 2015 - Elsevier
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 …