Systematic Development of Short-Term Load Forecasting Models for the Electric Power Utilities: The Case of Pakistan

Systematic Development of Short-Term Load Forecasting Models for the Electric Power Utilities: The Case of Pakistan

Load forecasts are fundamental inputs for the reliable and resilient operation of a power system. Globally, researchers endeavor to improve the accuracy of their forecast models. However, lack of studies detailing standardized model development procedures remains a major issue. In this regard, this...

Full description

Bibliographic Details
Main Authors:	Aneeque A. Mir, Zafar A. Khan, Abdullah Altmimi, Maria Badar, Kafait Ullah, Muhammad Imran, Syed Ali Abbas Kazmi
Format:	Article
Language:	English
Published:	IEEE 2021-01-01
Series:	IEEE Access
Subjects:	Load forecast artificial neural networks multiple linear regression
Online Access:	https://ieeexplore.ieee.org/document/9558842/

Similar Items

Erratum to “Systematic Development of Short-Term Load Forecasting Models for the Electric Power Utilities: The Case of Pakistan”
by: Aneeque A. Mir, et al.
Published: (2021-01-01)

Linear regression long-term energy demand forecast modelling in Ogun State, Nigeria
by: O.O. Ade-Ikuesan, et al.
Published: (2019-05-01)

Midterm Load Forecasting Analysis For Erbil Governorate Based On Predictive Models
by: Warda Hussein Ali
Published: (2020-06-01)

A Platform Independent Web-Application for Short-Term Electric Power Load Forecasting on a 33/11 kV Substation Using Regression Model
by: Venkataramana Veeramsetty, et al.
Published: (2022-01-01)

Short Term Active Power Load Prediction on A 33/11 kV Substation Using Regression Models
by: Venkataramana Veeramsetty, et al.
Published: (2021-05-01)

Load forecasting using 24 solar terms
by: Jingrui XIE, et al.
Published: (2018-01-01)

Regression Model-Based Short-Term Load Forecasting for University Campus Load
by: Mithun Madhukumar, et al.
Published: (2022-01-01)

Classification of Special Days in Short-Term Load Forecasting: The Spanish Case Study
by: Miguel López, et al.
Published: (2019-04-01)

Real-time anomaly detection for very short-term load forecasting
by: Jian LUO, et al.
Published: (2018-01-01)

Least Square Regression Based Integrated Multi-Parameteric Demand Modeling for Short Term Load Forecasting
by: Irfan Ahmed Halepoto, et al.
Published: (2014-04-01)

Regression Model-Based Short-Term Load Forecasting for Load Despatch Centre
by: Saikat Gochhait, et al.
Published: (2023-06-01)

A Quantile Regression Random Forest-Based Short-Term Load Probabilistic Forecasting Method
by: Sanlei Dang, et al.
Published: (2022-01-01)

Machine Learning Approach for Short-Term Load Forecasting Using Deep Neural Network
by: Majed A. Alotaibi
Published: (2022-08-01)

Medium- and long-term power load forecasting model
by: Zhu Yuning, et al.
Published: (2023-01-01)

Application of SVM methods for mid-term load forecasting
by: Božić Miloš, et al.
Published: (2011-01-01)

Load forecasting method considering temperature effect for distribution network
by: Meng Xiao Fang, et al.
Published: (2016-01-01)

Linear and Non-Linear Regression: Powerful and Very Important Forecasting Methods
by: Athanasios VASILOPOULOS
Published: (2015-12-01)

Short Term Load Forecasting Based Artificial Neural Network
by: Adel M. Dakhil
Published: (2014-06-01)

A Novel Nonlinear Combined Forecasting System for Short-Term Load Forecasting
by: Chengshi Tian, et al.
Published: (2018-03-01)

Gaussian process regression‐based load forecasting model
by: Anamika Yadav, et al.
Published: (2024-03-01)

Short-term power load probabilistic interval multi-step forecasting based on ForecastNet
by: Yupeng Li, et al.
Published: (2022-08-01)

Probabilistic short-term power load forecasting based on B-SCN
by: Yi Ning, et al.
Published: (2022-11-01)

Using the Hybrid MLR-GA Approach for Air Pollution Forecasting
by: Fanar Abdul Razaq Mohammed, et al.
Published: (2019-09-01)

A Comprehensive Study of Random Forest for Short-Term Load Forecasting
by: Grzegorz Dudek
Published: (2022-10-01)

Short-Term Electric Load Forecasting Based on Variational Mode Decomposition and Grey Wolf Optimization
by: Mengran Zhou, et al.
Published: (2021-08-01)

Two-Stage Short-Term Load Forecasting for Power Transformers Under Different Substation Operating Conditions
by: Hang Liu, et al.
Published: (2019-01-01)

Comparison of short-term electrical load forecasting methods for different building types
by: Arne Groß, et al.
Published: (2021-09-01)

A Novel Technique for Short-Term Load Forecasting Using Sequential Models and Feature Engineering
by: Abdul Wahab, et al.
Published: (2021-01-01)

Evaluation of Weather Information for Short-Term Wind Power Forecasting with Various Types of Models
by: Ju-Yeol Ryu, et al.
Published: (2022-12-01)

A Bottom-up Method for Probabilistic Short-Term Load Forecasting Based on Medium Voltage Load Patterns
by: Zhengbang Jiang, et al.
Published: (2021-01-01)

Phase Space Reconstruction Algorithm and Deep Learning-Based Very Short-Term Bus Load Forecasting
by: Tian Shi, et al.
Published: (2019-11-01)

Use of Available Daylight to Improve Short-Term Load Forecasting Accuracy
by: Miguel López, et al.
Published: (2020-12-01)

Short-Term Load Forecasting for Electric Power Systems Using the PSO-SVR and FCM Clustering Techniques
by: Xiaogang Huang, et al.
Published: (2011-01-01)

Day-Ahead Hierarchical Probabilistic Load Forecasting With Linear Quantile Regression and Empirical Copulas
by: Tianhui Zhao, et al.
Published: (2019-01-01)

Multi-horizon short-term load forecasting using hybrid of LSTM and modified split convolution
by: Irshad Ullah, et al.
Published: (2023-09-01)

Annual average daily traffic forecasting using different techniques
by: Tomas Šliupas
Published: (2006-03-01)

Annual average daily traffic forecasting using different techniques
by: T. Šliupas
Published: (2006-03-01)

Bayesian optimization in a support vector regression model for short-term electricity load forecasting
by: Su Wutyi Hnin, et al.
Published: (2019-09-01)

Robust Building Energy Load Forecasting Using Physically-Based Kernel Models
by: Anand Krishnan Prakash, et al.
Published: (2018-04-01)

The influence of differential privacy on short term electric load forecasting
by: Günther Eibl, et al.
Published: (2018-10-01)