Javier García-González

TL;DR: In this article, the authors investigated the combined optimization of a wind farm and a pumped-storage facility from the point of view of a generation company in a market environment, and formulated the optimization model as a two-stage stochastic programming problem with two random parameters: market prices and wind generation.

TL;DR: In this paper, an input-output hidden Markov model (IOHMM) is proposed for analyzing and forecasting electricity spot prices in the Spanish electricity market, which provides both good predictions in terms of accuracy as well as dynamic information about the market.

TL;DR: In this paper, the authors review the current trends in the pumped hydroelectric energy storage operation, discuss why current practices should be reexamined, and present the main challenges faced by PHES operators who will need to adapt their scheduling and bidding models to optimize jointly the operation in the energy and in the ancillary services markets.

TL;DR: A profit-based model for short-term hydro scheduling adapted to pool-based electricity markets, which can be formulated as a MILP optimization problem, where unit-commitment decisions are modeled by means of binary variables.

TL;DR: The benefits to be gained from and the drawbacks of ignoring various water-energy interlinks for policy makers and planners in their goals to meet long term resource security Several possible combinations of socioeconomic and climate change scenarios make these goals even more challenging as mentioned in this paper.