Risk neutral and risk averse approaches to multistage renewable investment planning under uncertainty

S Bruno, S Ahmed, A Shapiro, A Street - European Journal of Operational …, 2016 - Elsevier
Strategies for investing in renewable energy projects present high risks associated with
generation and price volatility and dynamics. Existing approaches for determining optimal …

A soft robust methodology to devise hedging strategies in renewable energy trading based on electricity options

A Brigatto, B Fanzeres - Electric Power Systems Research, 2022 - Elsevier
Supply contracts play an important role in competitive electricity markets. They help ensure
supply adequacy and hedge against market power, among other benefits. However, when …

Contracting strategies for renewable generators: A hybrid stochastic and robust optimization approach

B Fanzeres, A Street, LA Barroso - IEEE Transactions on Power …, 2014 - ieeexplore.ieee.org
We present a new methodology to support an energy trading company (ETC) to devise
contracting strategies under an optimal risk-averse renewable portfolio. The uncertainty in …

Time consistency and risk averse dynamic decision models: Definition, interpretation and practical consequences

B Rudloff, A Street, DM Valladão - European Journal of Operational …, 2014 - Elsevier
This paper aims at resolving a major obstacle to practical usage of time-consistent risk-
averse decision models. The recursive objective function, generally used to ensure time …

Stable and coordinating contracts for a supply chain with multiple risk‐averse suppliers

X Chen, S Shum, D Simchi‐Levi - Production and …, 2014 - journals.sagepub.com
We analyze a decentralized supply chain with a single risk‐averse retailer and multiple risk‐
averse suppliers under a Conditional Value at Risk objective. We define coordinating …

Optimization with multivariate conditional value-at-risk constraints

N Noyan, G Rudolf - Operations research, 2013 - pubsonline.informs.org
For many decision-making problems under uncertainty, it is crucial to develop risk-averse
models and specify the decision makers' risk preferences based on multiple stochastic …

Robust strategic bidding in auction-based markets

B Fanzeres, S Ahmed, A Street - European Journal of Operational …, 2019 - Elsevier
In this paper, we propose an alternative methodology for devising revenue-maximizing
strategic bids under uncertainty in the competitors' bidding strategy. We focus on markets …

Perspective under uncertainty and risk in green hydrogen investments: A stochastic approach using Monte Carlo simulation

JVB de Andrade, VBF da Costa, BD Bonatto… - International Journal of …, 2024 - Elsevier
This paper presents a new approach to calculating the levelized cost of hydrogen (LCOH)
using a stochastic model under an uncertainty and risk perspective. The research problem is …

A simheuristic algorithm for the stochastic permutation flow‐shop problem with delivery dates and cumulative payoffs

PA Villarinho, J Panadero, LS Pessoa… - International …, 2021 - Wiley Online Library
This paper analyzes the permutation flow‐shop problem with delivery dates and cumulative
payoffs (whenever these dates are met) under uncertainty conditions. In particular, the paper …

A hybrid MILP and benders decomposition approach to find the nucleolus quota allocation for a renewable energy portfolio

L Freire, A Street, DA Lima… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
Portfolios of renewable electricity sources are interesting risk-management mechanisms for
trading in electricity contract markets. When formed by players belonging to different …