The Impact of the Selection of Exogenous Variables in the ANFIS Model on the Results of the Daily Load Forecast in the Power Company

Short-Term Load Forecasting Algorithm Using a Similar Day Selection Method Based on Reinforcement Learning

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Forecasting based on an ensemble Autoregressive Moving Average - Adaptive neuro - Fuzzy inference system – Neural network - Genetic Algorithm Framework

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Time Series Prediction of Electricity Demand Using Adaptive Neuro-Fuzzy Inference Systems

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Integrating Long Short-Term Memory and Genetic Algorithm for Short-Term Load Forecasting

(2019) Arpita Samanta Santra et al.   Energies

Research and Application of a Novel Hybrid Model Based on a Deep Neural Network Combined with Fuzzy Time Series for Energy Forecasting

(2019) Wei et al.   Energies

Forecasting electricity smart meter data using conditional kernel density estimation

(2016) Siddharth Arora et al.   OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE

Short-Term Forecasting of Anomalous Load Using Rule-Based Triple Seasonal Methods

(2013) Siddharth Arora et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Electricity demand estimation using an adaptive neuro-fuzzy network: A case study from the Ontario province – Canada

(2012) Gholamreza Zahedi et al.   ENERGY

Triple seasonal methods for short-term electricity demand forecasting

(2009) James W. Taylor   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Canonical partial least squares-a unified PLS approach to classification and regression problems

(2009) Ulf G. Indahl et al.   JOURNAL OF CHEMOMETRICS

Using adaptive network based fuzzy inference system to forecast regional electricity loads

(2007) Li-Chih Ying et al.   ENERGY CONVERSION AND MANAGEMENT