Environmental issues have become some of the greatest challenges encountered across
the life cycle Shale gas operations, and mostly involve the management, disposal, and spill …

Various countries and communities are defining strategic energy plans driven by concerns
for climate change and security of energy supply. Energy models can support this decision …

While Stackelberg leader–follower games and bilevel programming have become
increasingly prevalent in game-theoretic modeling and optimization of decentralized supply …

Optimization models for long-term energy planning often feature many uncertain inputs,
which can be handled using robust optimization. However, uncertainty is seldom accounted …

This paper investigates how the choice of stochastic approaches and distribution
assumptions impacts strategic investment decisions in energy planning problems. We …

Various countries and communities are defining or rethinking their energy strategy driven by
concerns for climate change and security of energy supply. Energy models, often based on …

In this study, a freight routing problem considering both soft delivery time windows and
demand and capacity uncertainty in a road–rail intermodal transportation system is …

In this work we propose a data independent framework for the optimal integration of
renewable sources of energy to produce fuels and power. A network is formulated using …

This paper gives an overview of developments in the field of robust optimization in machine
learning (ML) in general and Support Vector Machine (SVM)/Support Vector Regression …

Modelling and optimising modern energy systems is inherently complex and often requires
methods to simplify the discretization of the temporal domain. However, most of them are …