Novel deterministic and probabilistic combined system based on deep learning and self-improved optimization algorithm for wind speed forecasting
M Lv, J Li, X Niu, J Wang - Sustainable Energy Technologies and …, 2022 - Elsevier
Wind energy is a special type of renewable low-carbon energy with no greenhouse gas
emissions. It can be used for power generation and grid stability improvement in the …
emissions. It can be used for power generation and grid stability improvement in the …
Upper envelopes of families of Feller semigroups and viscosity solutions to a class of nonlinear Cauchy problems
In this paper, we consider the (upper) semigroup envelope, ie, the least upper bound, of a
given family of linear Feller semigroups. We explicitly construct the semigroup envelope and …
given family of linear Feller semigroups. We explicitly construct the semigroup envelope and …
[BOOK][B] Risk-Averse Optimization and Control: Theory and Methods
D Dentcheva, A Ruszczyński - 2024 - books.google.com
This book offers a comprehensive presentation of the theory and methods of risk-averse
optimization and control. Problems of this type arise in finance, energy production and …
optimization and control. Problems of this type arise in finance, energy production and …
[HTML][HTML] Stochastic processes under parameter uncertainty
D Criens - Journal of Mathematical Analysis and Applications, 2024 - Elsevier
In this paper we study a family of nonlinear (conditional) expectations that can be
understood as a stochastic process with uncertain parameters. We develop a general …
understood as a stochastic process with uncertain parameters. We develop a general …
[PDF][PDF] Markovian imprecise jump processes: foundations, algorithms and applications
A Erreygers - 2021 - users.ugent.be
Six years of doctoral research, and what an incredible ride it has been. The pages of this
dissertation are filled with the fruits of my labour, and it is my absolute pleasure that you are …
dissertation are filled with the fruits of my labour, and it is my absolute pleasure that you are …
On nonlinear expectations and Markov chains under model uncertainty
M Nendel - International Journal of Approximate Reasoning, 2021 - Elsevier
The aim of this work is to give an overview on nonlinear expectations and to relate them to
other concepts that describe model uncertainty or imprecision in a probabilistic framework …
other concepts that describe model uncertainty or imprecision in a probabilistic framework …
Pricing interest rate derivatives under volatility uncertainty
J Hölzermann - Annals of Operations Research, 2024 - Springer
In this paper, we study the pricing of contracts in fixed income markets under volatility
uncertainty in the sense of Knightian uncertainty or model uncertainty. The starting point is …
uncertainty in the sense of Knightian uncertainty or model uncertainty. The starting point is …
Markovian imprecise jump processes: Extension to measurable variables, convergence theorems and algorithms
A Erreygers, J De Bock - International Journal of Approximate Reasoning, 2022 - Elsevier
The existing framework of Markovian imprecise jump processes, also known as imprecise
continuous-time Markov chains, is limited to bounded real variables that depend on the state …
continuous-time Markov chains, is limited to bounded real variables that depend on the state …
Convex expectations for countable-state uncertain processes with càdlàg sample paths
A Erreygers - International Journal of Approximate Reasoning, 2024 - Elsevier
This work investigates convex expectations, mainly in the setting of uncertain processes with
countable state space. In the general setting it shows how, under the assumption of …
countable state space. In the general setting it shows how, under the assumption of …
Non-linear affine processes with jumps
F Biagini, G Bollweg, K Oberpriller - arxiv preprint arxiv:2207.03710, 2022 - arxiv.org
We present a probabilistic construction of $\mathbb {R}^ d $-valued non-linear affine
processes with jumps. Given a set $\Theta $ of affine parameters, we define a family of …
processes with jumps. Given a set $\Theta $ of affine parameters, we define a family of …