Applying the ensemble artificial neural network-based hybrid data-driven model to daily total load forecasting

Load Forecasting ◽

Data Driven ◽

Total Load ◽

Hybrid Data ◽

Artificial Neural ◽

Daily Total

Improving event-based rainfall-runoff simulation using an ensemble artificial neural network based hybrid data-driven model

Stochastic Environmental Research and Risk Assessment ◽

10.1007/s00477-015-1040-6 ◽

2015 ◽

Vol 29 (5) ◽

pp. 1345-1370 ◽

Cited By ~ 36

Author(s):

Guangyuan Kan ◽

Cheng Yao ◽

Qiaoling Li ◽

Zhijia Li ◽

Zhongbo Yu ◽

...

Keyword(s):

Neural Network ◽

Data Driven ◽

Rainfall Runoff ◽

Runoff Simulation ◽

Hybrid Data ◽

Artificial Neural ◽

Event Based

18th International Conference and Exhibition on Electricity Distribution (CIRED 2005) ◽

Artificial neural network in day-ahead electricity load forecasting for large steel factory

10.1049/cp:20051387 ◽

2005 ◽

Cited By ~ 1

Author(s):

B. Swiatek ◽

R. Klempka ◽

J. Dzieza

Keyword(s):

Neural Network ◽

Load Forecasting ◽

Steel Factory ◽

Large Steel ◽

Electricity Load ◽

Artificial Neural ◽

Electricity Load Forecasting

Feed-forward artificial neural network provides data-driven inference of functional connectivity

Chaos An Interdisciplinary Journal of Nonlinear Science ◽

10.1063/1.5117263 ◽

2019 ◽

Vol 29 (9) ◽

pp. 091101 ◽

Cited By ~ 9

Author(s):

Nikita Frolov ◽

Vladimir Maksimenko ◽

Annika Lüttjohann ◽

Alexey Koronovskii ◽

Alexander Hramov

Keyword(s):

Neural Network ◽

Functional Connectivity ◽

Data Driven ◽

Feed Forward ◽

Artificial neural network and SARIMA based models for power load forecasting in Turkish electricity market

PLoS ONE ◽

10.1371/journal.pone.0175915 ◽

2017 ◽

Vol 12 (4) ◽

pp. e0175915 ◽

Cited By ~ 18

Author(s):

Ömer Özgür Bozkurt ◽

Göksel Biricik ◽

Ziya Cihan Tayşi

Keyword(s):

Neural Network ◽

Electricity Market ◽

Load Forecasting ◽

Power Load ◽

Power Load Forecasting ◽

Data-driven framework towards realistic bottom-up energy benchmarking using an Artificial Neural Network

Applied Energy ◽

10.1016/j.apenergy.2021.117960 ◽

2022 ◽

Vol 306 ◽

pp. 117960

Author(s):

Matheus Soares Geraldi ◽

Enedir Ghisi

Keyword(s):

Neural Network ◽

Data Driven ◽

Bottom Up ◽

Energy Benchmarking ◽

Artificial Neural Network Modelling for Short Term Load Forecasting

10.1109/ict-pep53949.2021.9601105 ◽

2021 ◽

Author(s):

Mahshooq Abdul Majeed ◽

Soumya Mudgal ◽

Lalit Tak ◽

Janavi Popat ◽

Harsh Kakadiya ◽

...

Keyword(s):

Neural Network ◽

Artificial Neural Network Modelling

Load Forecasting ◽

Short Term ◽

Network Modelling ◽

Neural Network Modelling ◽

Short Term Load Forecasting ◽

Artificial Neural ◽

Short term load forecasting by artificial neural network

2016 International Conference on Next Generation Intelligent Systems (ICNGIS) ◽

10.1109/icngis.2016.7854003 ◽

2016 ◽

Cited By ~ 12

Author(s):

Papia Ray ◽

Debani Prasad Mishra ◽

Rajesh Kumar Lenka

Keyword(s):

Neural Network ◽

Load Forecasting ◽

Short Term ◽

Short Term Load Forecasting ◽

Short term load forecasting of Indian system using linear regression and artificial neural network

2015 5th Nirma University International Conference on Engineering (NUiCONE) ◽

10.1109/nuicone.2015.7449617 ◽

2015 ◽

Cited By ~ 2

Author(s):

Harsh Patel ◽

Mahesh Pandya ◽

Mohan Aware

Keyword(s):

Neural Network ◽

Linear Regression ◽

Load Forecasting ◽

Short Term ◽

Short Term Load Forecasting ◽

Object-Oriented Genetic Algorithm Based Artificial Neural Network for Load Forecasting

Lecture Notes in Computer Science - Simulated Evolution and Learning ◽

10.1007/3-540-48873-1_59 ◽

1999 ◽

pp. 462-469 ◽

Cited By ~ 4

Author(s):

L. L. Lai ◽

H. Subasinghe ◽

N. Rajkumar ◽

E. Vaseekar ◽

B. J. Gwyn ◽

...

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Load Forecasting ◽

Object Oriented ◽

2020 59th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE) ◽

A Correntropy Based Artificial Neural Network using Early Stopping for Daily Peak Load Forecasting

10.23919/sice48898.2020.9240336 ◽

2020 ◽

Author(s):

Naoki Sato ◽

Yoshikazu Fukuyama ◽

Tatsuya Iizaka ◽

Tetsuro Matsui

Keyword(s):

Neural Network ◽

Peak Load ◽

Load Forecasting ◽

Early Stopping ◽