Forecasting Electricity Demand in Households using MOGA-designed Artificial Neural Networks

Electricity Demand ◽

2020 IEEE PES Transmission & Distribution Conference and Exhibition - Latin America (T&D LA) ◽

Forecasting hourly electricity demand of Uruguay for the next day using artificial neural networks

10.1109/tdla47668.2020.9326206 ◽

2020 ◽

Author(s):

Rodrigo Porteiro ◽

Sergio Nesmachnow

Keyword(s):

Neural Networks ◽

Electricity Demand ◽

Long Term Annual Electricity Demand Forecasting in Sri Lanka by Artificial Neural Networks

2018 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) ◽

10.1109/appeec.2018.8566586 ◽

2018 ◽

Author(s):

DC Hapuarachchi ◽

KTMU Hemapala ◽

AGBP Jayasekara

Keyword(s):

Neural Networks ◽

Sri Lanka ◽

Demand Forecasting ◽

Electricity Demand ◽

Electricity Demand Forecasting ◽

2017 Seventeenth International Conference on Advances in ICT for Emerging Regions (ICTer) ◽

Artificial neural networks for daily electricity demand prediction of Sri Lanka

10.1109/icter.2017.8257823 ◽

2017 ◽

Cited By ~ 2

Author(s):

Shashikala L. Karunathilake ◽

Harshani R. K. Nagahamulla

Keyword(s):

Neural Networks ◽

Sri Lanka ◽

Electricity Demand ◽

Demand Prediction ◽

INDIA’S ELECTRICITY DEMAND FORECAST USING REGRESSION ANALYSIS AND ARTIFICIAL NEURAL NETWORKS BASED ON PRINCIPAL COMPONENTS

ICTACT Journal on Soft Computing ◽

10.21917/ijsc.2012.0057 ◽

2012 ◽

Vol 02 (04) ◽

pp. 365-370 ◽

Cited By ~ 7

Author(s):

Saravanan S. ◽

◽

Kannan S. ◽

Thangaraj C. ◽

◽

...

Keyword(s):

Neural Networks ◽

Regression Analysis ◽

Principal Components ◽

Electricity Demand ◽

Demand Forecast ◽

Application of artificial neural networks and fuzzy logic to long-term load forecast considering the price elasticity of electricity demand

International Transactions on Electrical Energy Systems ◽

10.1002/etep.2606 ◽

2018 ◽

Vol 28 (10) ◽

pp. e2606 ◽

Cited By ~ 3

Author(s):

Sandy Tondolo de Miranda ◽

Alzenira Abaide ◽

Mauricio Sperandio ◽

Moises Machado Santos ◽

Eric Zanghi

Keyword(s):

Neural Networks ◽

Fuzzy Logic ◽

Price Elasticity ◽

Electricity Demand ◽

Load Forecast ◽

2018 International Conference on Artificial Intelligence and Data Processing (IDAP) ◽

Forecasting short-term electricity demand of Turkey by artificial neural networks

10.1109/idap.2018.8620861 ◽

2018 ◽

Author(s):

Mustafa COMERT ◽

Ali YILDIZ

Keyword(s):

Neural Networks ◽

Electricity Demand ◽

Short Term ◽

Long Term Electricity Demand Forecasting in Turkey Using Artificial Neural Networks

Energy Sources Part B Economics Planning and Policy ◽

10.1080/15567240802533542 ◽

2010 ◽

Vol 5 (3) ◽

pp. 279-289 ◽

Cited By ~ 18

Author(s):

M. Çunkaş ◽

A. A. Altun

Keyword(s):

Neural Networks ◽

Demand Forecasting ◽

Electricity Demand ◽

Electricity Demand Forecasting ◽

Forecasting annual gross electricity demand by artificial neural networks using predicted values of socio-economic indicators and climatic conditions: Case of Turkey

Energy Policy ◽

10.1016/j.enpol.2015.12.019 ◽

2016 ◽

Vol 90 ◽

pp. 92-101 ◽

Cited By ~ 67

Author(s):

M. Erdem Günay

Keyword(s):

Neural Networks ◽

Climatic Conditions ◽

Electricity Demand ◽

Economic Indicators ◽

Artificial Neural ◽

Predicted Values

Long-Term Electricity Demand Forecasting for Malaysia Using Artificial Neural Networks in the Presence of Input and Model Uncertainties

Energy Engineering ◽

10.32604/ee.2021.014865 ◽

2021 ◽

Vol 118 (3) ◽

pp. 715-725

Author(s):

Vin Cent Tai ◽

Yong Chai Tan ◽

Nor Faiza Abd Rahman ◽

Hui Xin Che ◽

Chee Ming Chia ◽

...

Keyword(s):

Neural Networks ◽

Demand Forecasting ◽

Electricity Demand ◽

Model Uncertainties ◽

Electricity Demand Forecasting ◽

2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) ◽

Election of variables and short-term forecasting of electricity demand based on backpropagation artificial neural networks

10.1109/ropec.2017.8261630 ◽

2017 ◽

Cited By ~ 3

Author(s):

Xavier Serrano-Guerrero ◽

Ricardo Prieto-Galarza ◽

Esteban Huilcatanda ◽

Juan Cabrera-Zeas ◽

Guillermo Escriva-Escriva

Keyword(s):

Neural Networks ◽

Electricity Demand ◽

Short Term ◽

Artificial Neural ◽

Short Term Forecasting