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Disaggregating time series on multiple criteria for robust forecasting : the case of long-term electricity demand in Greece

Angelopoulos, Dimitrios; Siskos, Yannis; Psarras, John - In: European journal of operational research : EJOR 275 (2019) 1, pp. 252-265

Persistent link: https://www.econbiz.de/10011993257

Long term electricity consumption forecast in Brazil : a fuzzy logic approach

Torrini, Fabiano Castro; Souza, Reinaldo Castro; … - In: Socio-economic planning sciences : the international … 54 (2016), pp. 18-27

Persistent link: https://www.econbiz.de/10011481617

Electricity consumption prediction for buildings using multiple adaptive network-based fuzzy inference system models and gray relational analysis

Chen, Han-Yun; Lee, Ching-Hung - In: Energy reports 5 (2019), pp. 1509-1524

The rise in environmental awareness has increased the significance of controlling and monitoring electricity … consumption. The efficiency of power management is directly affected by the accuracy of predicting electricity consumption. It is … easy to estimate the electricity consumption if the electricity status is predicted. Therefore, this study proposes a …

Persistent link: https://www.econbiz.de/10012125688

Electricity demand forecasting using fuzzy hybrid intelligence-based seasonal models

Khashei, Mehdi; Chahkoutahi, Fatemeh - In: Journal of modelling in management 17 (2022) 1, pp. 154-176

Persistent link: https://www.econbiz.de/10012886288

Prediction of Electricity Consumption using Adaptive Neuro-fuzzy Inference System

malladi, Sai vikas; p, Saradar Maran; Mandava, Sankalp - 2020

The electricity consumption has been increasing day to day Exponentially from the invention of electricity and more … Over the production of electricity has been fulfilling for the Current population in the world, Electrical loads and energy … of lighting energy consumption, Therefore by predicting the electricity consumption with various parameters based on …

Persistent link: https://www.econbiz.de/10014096000

Artificial intelligence in energy industry : forecasting electricity consumption through cohort intelligence & adaptive neural fuzzy inference system

Tutun, Salih; Tosyali, Ali; Sangrody, Hossein; … - In: Journal of business analytics 6 (2023) 1, pp. 59-76

Persistent link: https://www.econbiz.de/10013536148

Multiple linear regression model applied to the projection of electricity demand in Colombia

Garcia-Guiliany, Jesús; De-la-hoz-Franco, Emiro; … - In: International Journal of Energy Economics and Policy : IJEEP 10 (2020) 1, pp. 419-422

Persistent link: https://www.econbiz.de/10012436102

Additive models and robust aggregation for GEFCom2014 probabilistic electric load and electricity price forecasting

Gaillard, Pierre; Goude, Yannig; Nedellec, Raphaël - In: International journal of forecasting 32 (2016) 3, pp. 1038-1050

Persistent link: https://www.econbiz.de/10011621991

Determinants of residential electricity demand : evidence from Japan

Otsuka, Akihiro; Haruna, Shoji - In: International journal of energy sector management : IJESM 10 (2016) 4, pp. 546-560

Persistent link: https://www.econbiz.de/10011639021

Forecasting residential electric power consumption for Bogotá Colombia using regression models

Peña-Guzmán, Carlos; Rey, Juliana - In: Energy reports 6 (2020) 1, pp. 561-566

This study presents three models of multiple linear regressions for forecasting energy demand. The first is a simple multiple linear regression, the second model has an economic interpretation of coefficients (econometric), while the third model is developed in the form of double logarithm...

Persistent link: https://www.econbiz.de/10012177360

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