A hybrid electricity load prediction system based on weighted fuzzy time series and multi-objective differential evolution

Short-term electrical load forecasting through heuristic configuration of regularized deep neural network

(2022) Ashraful Haque et al.   APPLIED SOFT COMPUTING

An oil imports dependence forecasting system based on fuzzy time series and multi-objective optimization algorithm: Case for China

(2022) Hufang Yang et al.   KNOWLEDGE-BASED SYSTEMS

Power fluctuation mitigation strategy for microgrids based on an LSTM-based power forecasting method

(2022) Luo Zhao et al.   APPLIED SOFT COMPUTING

Interval forecasting system for electricity load based on data pre-processing strategy and multi-objective optimization algorithm

(2021) Jianzhou Wang et al.   APPLIED ENERGY

Multi-objective optimization design and multi-attribute decision-making method of a distributed energy system based on nearly zero-energy community load forecasting

(2021) Jiacheng Guo et al.   ENERGY

Multi-Objective Particle Swarm Optimization Algorithm for Multi-Step Electric Load Forecasting

(2020) Yi Yang et al.   Energies

A new fuzzy-based method for load balancing in the cloud-based Internet of things using a grey wolf optimization algorithm

(2020) Li Xingjun et al.   INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS

Fault Diagnosis of Diesel Engine Valve Clearance Based on Variational Mode Decomposition and Random Forest

(2020) Nanyang Zhao et al.   Applied Sciences-Basel

A new combined model based on multi-objective salp swarm optimization for wind speed forecasting

(2020) Zishu Cheng et al.   APPLIED SOFT COMPUTING

Fractional ARIMA with an improved cuckoo search optimization for the efficient Short-term power load forecasting

(2020) Fei Wu et al.   Alexandria Engineering Journal

Ultra-Short-Term Load Demand Forecast Model Framework Based on Deep Learning

(2020) Hongze Li et al.   Energies

A hybrid model based on modified multi-objective cuckoo search algorithm for short-term load forecasting

(2019) Zhuochun Wu et al.   APPLIED ENERGY

Short-Term Power Load Forecasting Based on Elman Neural Network with Particle Swarm Optimization

(2019) Kun Xie et al.   NEUROCOMPUTING

A novel combined model based on hybrid optimization algorithm for electrical load forecasting

(2019) Rui Wang et al.   APPLIED SOFT COMPUTING

A hybrid system for short-term wind speed forecasting

(2018) Qingqing He et al.   APPLIED ENERGY

A regional hybrid GOA-SVM model based on similar day approach for short-term load forecasting in Assam, India

(2018) Mayur Barman et al.   ENERGY

Structural combination of seasonal exponential smoothing forecasts applied to load forecasting

(2018) Juan F. Rendon-Sanchez et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Research and Application of Hybrid Forecasting Model Based on an Optimal Feature Selection System—A Case Study on Electrical Load Forecasting

(2017) Yunxuan Dong et al.   Energies

DGM (1, 1) model optimized by MVO (multi-verse optimizer) for annual peak load forecasting

(2016) Huiru Zhao et al.   NEURAL COMPUTING & APPLICATIONS

A Comprehensive Review of Smart Energy Meters in Intelligent Energy Networks

(2016) Qie Sun et al.   IEEE Internet of Things Journal

Variational Mode Decomposition

(2014) Konstantin Dragomiretskiy et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Short-term load forecasting using lifting scheme and ARIMA models

(2010) Cheng-Ming Lee et al.   EXPERT SYSTEMS WITH APPLICATIONS

Differential Evolution: A Survey of the State-of-the-Art

(2010) Swagatam Das et al.   IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION

Electricity demand load forecasting of the Hellenic power system using an ARMA model

(2009) S.Sp. Pappas et al.   ELECTRIC POWER SYSTEMS RESEARCH

The weighted sum method for multi-objective optimization: new insights

(2009) R. Timothy Marler et al.   STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION