Load Forecasting of Electric Power Distribution System using Different Techniques: A Review

C. K. Mandara; Vinay Kumar Jadoun; Anshul Agarwal

doi:10.1109/SCES55490.2022.9887657

Load Forecasting of Electric Power Distribution System using Different Techniques: A Review

C. K. Mandara, Vinay Kumar Jadoun, Anshul Agarwal

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

Abstract

Today's complex civilization requires a steady and constant supply of electrical energy. It's crucial because electrical power creation necessitates effective management. This is because the amount of energy generated must equal the amount of energy used, also accurate and timely forecasting is required. In order to characterize future load in sufficient quantitative clarity, the estimated load demand is determined using previous knowledge. The load time series has a significant level of uncertainty, making it difficult to create an accurate short-term load estimate. Therefore, this work examines numerous load forecasting problems, as well as related recent constraints, utilizing various methodologies.

Original language	English
Title of host publication	2022 IEEE Students Conference on Engineering and Systems, SCES 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665480727
DOIs	https://doi.org/10.1109/SCES55490.2022.9887657
Publication status	Published - 2022
Event	7th IEEE Students Conference on Engineering and Systems, SCES 2022 - Prayagraj, India Duration: 01-07-2022 → 03-07-2022

Publication series

Name	2022 IEEE Students Conference on Engineering and Systems, SCES 2022

Conference

Conference	7th IEEE Students Conference on Engineering and Systems, SCES 2022
Country/Territory	India
City	Prayagraj
Period	01-07-22 → 03-07-22

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Information Systems
Information Systems and Management
Energy Engineering and Power Technology
Electrical and Electronic Engineering
Control and Optimization

Access to Document

10.1109/SCES55490.2022.9887657

Cite this

Mandara, C. K., Jadoun, V. K., & Agarwal, A. (2022). Load Forecasting of Electric Power Distribution System using Different Techniques: A Review. In 2022 IEEE Students Conference on Engineering and Systems, SCES 2022 (2022 IEEE Students Conference on Engineering and Systems, SCES 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SCES55490.2022.9887657

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title = "Load Forecasting of Electric Power Distribution System using Different Techniques: A Review",

abstract = "Today's complex civilization requires a steady and constant supply of electrical energy. It's crucial because electrical power creation necessitates effective management. This is because the amount of energy generated must equal the amount of energy used, also accurate and timely forecasting is required. In order to characterize future load in sufficient quantitative clarity, the estimated load demand is determined using previous knowledge. The load time series has a significant level of uncertainty, making it difficult to create an accurate short-term load estimate. Therefore, this work examines numerous load forecasting problems, as well as related recent constraints, utilizing various methodologies.",

author = "Mandara, {C. K.} and Jadoun, {Vinay Kumar} and Anshul Agarwal",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 7th IEEE Students Conference on Engineering and Systems, SCES 2022 ; Conference date: 01-07-2022 Through 03-07-2022",

year = "2022",

doi = "10.1109/SCES55490.2022.9887657",

language = "English",

series = "2022 IEEE Students Conference on Engineering and Systems, SCES 2022",

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Mandara, CK, Jadoun, VK & Agarwal, A 2022, Load Forecasting of Electric Power Distribution System using Different Techniques: A Review. in 2022 IEEE Students Conference on Engineering and Systems, SCES 2022. 2022 IEEE Students Conference on Engineering and Systems, SCES 2022, Institute of Electrical and Electronics Engineers Inc., 7th IEEE Students Conference on Engineering and Systems, SCES 2022, Prayagraj, India, 01-07-22. https://doi.org/10.1109/SCES55490.2022.9887657

Load Forecasting of Electric Power Distribution System using Different Techniques: A Review. / Mandara, C. K.; Jadoun, Vinay Kumar; Agarwal, Anshul.
2022 IEEE Students Conference on Engineering and Systems, SCES 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 IEEE Students Conference on Engineering and Systems, SCES 2022).

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

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AU - Jadoun, Vinay Kumar

AU - Agarwal, Anshul

PY - 2022

Y1 - 2022

N2 - Today's complex civilization requires a steady and constant supply of electrical energy. It's crucial because electrical power creation necessitates effective management. This is because the amount of energy generated must equal the amount of energy used, also accurate and timely forecasting is required. In order to characterize future load in sufficient quantitative clarity, the estimated load demand is determined using previous knowledge. The load time series has a significant level of uncertainty, making it difficult to create an accurate short-term load estimate. Therefore, this work examines numerous load forecasting problems, as well as related recent constraints, utilizing various methodologies.

AB - Today's complex civilization requires a steady and constant supply of electrical energy. It's crucial because electrical power creation necessitates effective management. This is because the amount of energy generated must equal the amount of energy used, also accurate and timely forecasting is required. In order to characterize future load in sufficient quantitative clarity, the estimated load demand is determined using previous knowledge. The load time series has a significant level of uncertainty, making it difficult to create an accurate short-term load estimate. Therefore, this work examines numerous load forecasting problems, as well as related recent constraints, utilizing various methodologies.

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M3 - Conference contribution

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BT - 2022 IEEE Students Conference on Engineering and Systems, SCES 2022

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 1 July 2022 through 3 July 2022

ER -

Load Forecasting of Electric Power Distribution System using Different Techniques: A Review

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