A Learning Powered Bi-Level Approach for Dynamic Electricity Pricing

Patrizia Beraldi; Luigi Gallo; Alessandra Rende

Research.Publish.Connect.

*Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Country:
Subject:

Advanced Search Affiliations Search

If you're looking for an exact phrase use quotation marks on text fields.

Proceedings

Proceedings Search *Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

Papers

Papers Search *Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

Authors

Authors Search *Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

Advanced Search

Paper

A Learning Powered Bi-Level Approach for Dynamic Electricity Pricing

Topics: Energy and Environment; Forecasting; Optimization

In Proceedings of the 13th International Conference on Operations Research and Enterprise Systems ICORES - Volume 1, 390-397, 2024 , Rome, Italy

Authors: Patrizia Beraldi ; Luigi Gallo and Alessandra Rende

Affiliation: Department of Mechanical, Energy and Management Engineering, University of Calabria, Italy

Keyword(s): Bi-Level Optimization, Electricity Tariffs, Solar Production, Forecasting, Machine Learning Techniques.

Abstract: This paper presents a comprehensive approach to electricity tariff determination by integrating advanced Artificial Intelligence (AI) techniques with Bi-Level (BL) optimization. More specifically, AI techniques are used to obtain accurate forecasts of photovoltaic panel generation, which are then used as input parameters for a deterministic BL problem that models the interaction between a power supplier and a residential prosumer. To handle the high complexity of the BL formulations, the model is first reformulated into a single-level structure, and then linearized using an approach based on the application of the dual reformulation. An intensive experimental phase is carried out on a real case study to test the effectiveness of the proposed methodology and to quantify the impact of the forecast techniques on the supplier strategy.

CC BY-NC-ND 4.0

Guest: Register as new SciTePress user now for free.

SciTePress user: please login.

My Papers

You are not signed in, therefore limits apply to your IP address 18.224.32.46

In the current month:

Recent papers: 100 available of 100 total

2⁺ years older papers: 200 available of 200 total

Paper citation in several formats:

Beraldi, P.; Gallo, L. and Rende, A. (2024). A Learning Powered Bi-Level Approach for Dynamic Electricity Pricing. In Proceedings of the 13th International Conference on Operations Research and Enterprise Systems - ICORES; ISBN 978-989-758-681-1; ISSN 2184-4372, SciTePress, pages 390-397. DOI: 10.5220/0012465700003639

@conference{icores24,
author={Patrizia Beraldi. and Luigi Gallo. and Alessandra Rende.},
title={A Learning Powered Bi-Level Approach for Dynamic Electricity Pricing},
booktitle={Proceedings of the 13th International Conference on Operations Research and Enterprise Systems - ICORES},
year={2024},
pages={390-397},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012465700003639},
isbn={978-989-758-681-1},
issn={2184-4372},
}

TY - CONF

JO - Proceedings of the 13th International Conference on Operations Research and Enterprise Systems - ICORES
TI - A Learning Powered Bi-Level Approach for Dynamic Electricity Pricing
SN - 978-989-758-681-1
IS - 2184-4372
AU - Beraldi, P.
AU - Gallo, L.
AU - Rende, A.
PY - 2024
SP - 390
EP - 397
DO - 10.5220/0012465700003639
PB - SciTePress