Analysis of Time Series Models for Brazilian Electricity Demand Forecasting

Analysis Of Time Series

Electricity Demand Forecasting in Four Departments of Tahoua Region of Niger-Republic Using Time Series Model

International Journal of Innovative Research and Development ◽

10.24940/ijird/2017/v6/i10/jan17049 ◽

2017 ◽

Vol 6 (10) ◽

Author(s):

Yahaya Dan Gage Aboubacar ◽

A. Abdullahi Mati ◽

S. M. Sani

Keyword(s):

Time Series ◽

Demand Forecasting ◽

Electricity Demand ◽

Time Series Model ◽

Design of a non-linear time series prediction model for daily electricity demand forecasting

International Journal of Business Innovation and Research ◽

10.1504/ijbir.2013.053633 ◽

2013 ◽

Vol 7 (3) ◽

pp. 298 ◽

Cited By ~ 1

Author(s):

S. Uma ◽

A. Chitra ◽

J. Suganthi

Keyword(s):

Time Series ◽

Prediction Model ◽

Linear Time ◽

Time Series Prediction ◽

Demand Forecasting ◽

Electricity Demand ◽

Non Linear

Peak electricity demand forecasting using time series regression models: An application to South African data

Journal of Statistics and Management Systems ◽

10.1080/09720510.2015.1086146 ◽

2016 ◽

Vol 19 (4) ◽

pp. 567-586 ◽

Cited By ~ 8

Author(s):

Caston Sigauke ◽

Delson Chikobvu

Keyword(s):

Time Series ◽

South African ◽

Regression Models ◽

Demand Forecasting ◽

Electricity Demand ◽

Time Series Regression ◽

Bayesian Structural Time-Series Approach to a Long-Term Electricity Demand Forecasting

Applied Mathematics & Information Sciences ◽

10.18576/amis/130206 ◽

2019 ◽

Vol 13 (2) ◽

pp. 189-199

Author(s):

Paul Mokilane ◽

Pravesh Debba ◽

Venkata S. S. Yadavalli ◽

Caston Sigauke

Keyword(s):

Time Series ◽

Demand Forecasting ◽

Electricity Demand ◽

Structural Time Series ◽

Time Series Approach ◽

Structural Time

A study on electricity demand forecasting based on time series clustering in smart grid

Korean Journal of Applied Statistics ◽

10.5351/kjas.2016.29.1.193 ◽

2016 ◽

Vol 29 (1) ◽

pp. 193-203 ◽

Cited By ~ 1

Author(s):

Hueng-Goo Sohn ◽

Sang-Wook Jung ◽

Sahm Kim

Keyword(s):

Time Series ◽

Smart Grid ◽

Demand Forecasting ◽

Electricity Demand ◽

Time Series Clustering ◽

Chaotic time series method combined with particle swarm optimization and trend adjustment for electricity demand forecasting

Expert Systems with Applications ◽

10.1016/j.eswa.2011.01.037 ◽

2011 ◽

Vol 38 (7) ◽

pp. 8419-8429 ◽

Cited By ~ 39

Author(s):

Jianzhou Wang ◽

Dezhong Chi ◽

Jie Wu ◽

Hai-yan Lu

Keyword(s):

Time Series ◽

Particle Swarm Optimization ◽

Demand Forecasting ◽

Particle Swarm ◽

Electricity Demand ◽

Chaotic Time Series ◽

Series Method ◽

Swarm Optimization ◽

Time Series Method

Seasonal Based Electricity Demand Forecasting Using Time Series Analysis

Circuits and Systems ◽

10.4236/cs.2016.710283 ◽

2016 ◽

Vol 07 (10) ◽

pp. 3320-3328 ◽

Cited By ~ 2

Author(s):

T. M. Usha ◽

S. Appavu Alias Balamurugan

Keyword(s):

Time Series ◽

Time Series Analysis ◽

Demand Forecasting ◽

Electricity Demand ◽

Series Analysis ◽

Electricity demand forecasting with a novel hybrid model

Automation, Mechanical and Electrical Engineering ◽

10.2495/amee140832 ◽

2014 ◽

Author(s):

L.P. Wu ◽

Q.S. Yang ◽

G.Q. Du ◽

J.H. Wang

Keyword(s):

Hybrid Model ◽

Demand Forecasting ◽

Electricity Demand ◽

Comparative Analysis of Time Series Models for the Prediction of Conjunctivitis Disease

SSRN Electronic Journal ◽

10.2139/ssrn.3572573 ◽

2020 ◽

Author(s):

Shobhit Verma ◽

Nonita Sharma ◽

Krishna Pal Sharma

Keyword(s):

Time Series ◽

Comparative Analysis ◽

Time Series Models ◽

Analysis Of Time Series

2021 International Conference on Artificial Intelligence and Smart Systems (ICAIS) ◽

Next-Day Electricity Demand Forecasting Using Regression*

10.1109/icais50930.2021.9395926 ◽

2021 ◽

Author(s):

Mert Cetinkaya ◽

Tankut Acarman

Keyword(s):

Demand Forecasting ◽

Electricity Demand ◽