Dynamic Pricing in the Electricity Retail Market: A Stochastic Bi-Level Approach
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-28863-0_12
Reference12 articles.
1. Afşar, S., Brotcorne, L., Marcotte, P., Savard, G.: Revenue optimization in energy networks involving self-scheduled demand and a smart grid. Comput. Oper. Res. 134, 105366 (2021)
2. Algieri, A., Beraldi, P., Pagnotta, G., Spadafora, I.: The optimal design, synthesis and operation of polygeneration energy systems: Balancing life cycle environmental and economic priorities. Energy Convers. Manag. 243, 114354 (2021)
3. Beraldi, P., Khodaparasti, S.: A bi-level model for the design of dynamic electricity tariffs with demand-side flexibility. Soft Comput. 1–18 (2022)
4. Beraldi, P., Khodaparasti, S.: Designing electricity tariffs in the retail market: A stochastic bi-level approach. Int. J. Prod. Econ. 257, 108759 (2023)
5. Beraldi, P., Violi, A., Scordino, N., Sorrentino, N.: Short-term electricity procurement: a rolling horizon stochastic programming approach. Appl. Math. Model. 35(8), 3980–90 (2011)
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