Integration of photovoltaic generation for large industrial consumers connected to distribution systems

Marco A. Toledo; Carlos Alvarez-Bel; J. X. Pachar; W. A. Quizhpi; Flavio A. Quizhpi

doi:10.1109/ROPEC50909.2020.9258747

Integration of photovoltaic generation for large industrial consumers connected to distribution systems

Marco A. Toledo, Carlos Alvarez-Bel, J. X. Pachar, W. A. Quizhpi, Flavio A. Quizhpi

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Technological advances in solar photovoltaic generation have considerably reduced equipment costs in new facilities, which is why this research focuses on determining the generation capacity through the use of existing infrastructure, solar radiation measurements and demand, to meet the demand for electrical energy through the application of forecasting models with the use of data analytics techniques and neural networks in order to determine the technical benefit in product quality, the reduction of demand peaks, mitigate transmission losses and provide greater reliability to the electrical system of the industry and utility.

Original language	English
Title of host publication	2020 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728199535
DOIs	https://doi.org/10.1109/ROPEC50909.2020.9258747
State	Published - 4 Nov 2020
Event	2020 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2020 - Ixtapa, Mexico Duration: 4 Nov 2020 → 6 Nov 2020

Publication series

Name	2020 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2020

Conference

Conference	2020 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2020
Country/Territory	Mexico
City	Ixtapa
Period	4/11/20 → 6/11/20

Bibliographical note

Funding Information:
This work was supported by Universitat Politècnica de València, Camino de Vera, s/n 46022 Valencia, Tel. (+34) 96 387 70 00 - Spain and the Universidad Politécnica Salesiana, Calle Vieja, Cuenca 010105 - Ecuador.

Publisher Copyright:
© 2020 IEEE.

Keywords

Data Analytics
Distributed Generation
Forecasting
Load Profile
Photovoltaic Solar Radiation

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/ROPEC50909.2020.9258747

Cite this

Toledo, M. A., Alvarez-Bel, C., Pachar, J. X., Quizhpi, W. A., & Quizhpi, F. A. (2020). Integration of photovoltaic generation for large industrial consumers connected to distribution systems. In 2020 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2020 Article 9258747 (2020 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ROPEC50909.2020.9258747

Toledo, Marco A. ; Alvarez-Bel, Carlos ; Pachar, J. X. et al. / Integration of photovoltaic generation for large industrial consumers connected to distribution systems. 2020 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2020. Institute of Electrical and Electronics Engineers Inc., 2020. (2020 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2020).

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title = "Integration of photovoltaic generation for large industrial consumers connected to distribution systems",

abstract = "Technological advances in solar photovoltaic generation have considerably reduced equipment costs in new facilities, which is why this research focuses on determining the generation capacity through the use of existing infrastructure, solar radiation measurements and demand, to meet the demand for electrical energy through the application of forecasting models with the use of data analytics techniques and neural networks in order to determine the technical benefit in product quality, the reduction of demand peaks, mitigate transmission losses and provide greater reliability to the electrical system of the industry and utility. ",

keywords = "Data Analytics, Distributed Generation, Forecasting, Load Profile, Photovoltaic Solar Radiation",

author = "Toledo, {Marco A.} and Carlos Alvarez-Bel and Pachar, {J. X.} and Quizhpi, {W. A.} and Quizhpi, {Flavio A.}",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2020 ; Conference date: 04-11-2020 Through 06-11-2020",

year = "2020",

month = nov,

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doi = "10.1109/ROPEC50909.2020.9258747",

language = "English",

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Toledo, MA, Alvarez-Bel, C, Pachar, JX, Quizhpi, WA & Quizhpi, FA 2020, Integration of photovoltaic generation for large industrial consumers connected to distribution systems. in 2020 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2020., 9258747, 2020 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2020, Institute of Electrical and Electronics Engineers Inc., 2020 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2020, Ixtapa, Mexico, 4/11/20. https://doi.org/10.1109/ROPEC50909.2020.9258747

Integration of photovoltaic generation for large industrial consumers connected to distribution systems. / Toledo, Marco A.; Alvarez-Bel, Carlos; Pachar, J. X. et al.
2020 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2020. Institute of Electrical and Electronics Engineers Inc., 2020. 9258747 (2020 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Integration of photovoltaic generation for large industrial consumers connected to distribution systems

AU - Toledo, Marco A.

AU - Alvarez-Bel, Carlos

AU - Pachar, J. X.

AU - Quizhpi, W. A.

AU - Quizhpi, Flavio A.

PY - 2020/11/4

Y1 - 2020/11/4

N2 - Technological advances in solar photovoltaic generation have considerably reduced equipment costs in new facilities, which is why this research focuses on determining the generation capacity through the use of existing infrastructure, solar radiation measurements and demand, to meet the demand for electrical energy through the application of forecasting models with the use of data analytics techniques and neural networks in order to determine the technical benefit in product quality, the reduction of demand peaks, mitigate transmission losses and provide greater reliability to the electrical system of the industry and utility.

AB - Technological advances in solar photovoltaic generation have considerably reduced equipment costs in new facilities, which is why this research focuses on determining the generation capacity through the use of existing infrastructure, solar radiation measurements and demand, to meet the demand for electrical energy through the application of forecasting models with the use of data analytics techniques and neural networks in order to determine the technical benefit in product quality, the reduction of demand peaks, mitigate transmission losses and provide greater reliability to the electrical system of the industry and utility.

KW - Data Analytics

KW - Distributed Generation

KW - Forecasting

KW - Load Profile

KW - Photovoltaic Solar Radiation

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U2 - 10.1109/ROPEC50909.2020.9258747

DO - 10.1109/ROPEC50909.2020.9258747

M3 - Conference contribution

AN - SCOPUS:85098000451

T3 - 2020 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2020

BT - 2020 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2020

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2020 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2020

Y2 - 4 November 2020 through 6 November 2020

ER -

Toledo MA, Alvarez-Bel C, Pachar JX, Quizhpi WA, Quizhpi FA. Integration of photovoltaic generation for large industrial consumers connected to distribution systems. In 2020 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2020. Institute of Electrical and Electronics Engineers Inc. 2020. 9258747. (2020 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2020). doi: 10.1109/ROPEC50909.2020.9258747

Integration of photovoltaic generation for large industrial consumers connected to distribution systems

Abstract

Publication series

Conference

Bibliographical note

Keywords

UN SDGs

Access to Document

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