A comprehensive low-risk and cost parallel hybrid method for electricity load forecasting
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A comprehensive low-risk and cost parallel hybrid method for electricity load forecasting
Authors
Keywords
Electricity load forecasting, Multi-Layer Perceptrons (MLPs), Autoregressive Integrated Moving Average (ARIMA), Fuzzy logic and models, Seasonal patterns, Hybrid models
Journal
COMPUTERS & INDUSTRIAL ENGINEERING
Volume 155, Issue -, Pages 107182
Publisher
Elsevier BV
Online
2021-02-19
DOI
10.1016/j.cie.2021.107182
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A Hybrid Short-Term Building Electrical Load Forecasting Model Combining the Periodic Pattern, Fuzzy System, and Wavelet Transform
- (2020) Chengdong Li et al. International Journal of Fuzzy Systems
- Energy Efficient Task Scheduling for Real-Time Embedded Systems in a Fuzzy Uncertain Environment
- (2020) Pranab K. Muhuri et al. IEEE TRANSACTIONS ON FUZZY SYSTEMS
- Short term electric load forecasting model and its verification for process industrial enterprises based on hybrid GA-PSO-BPNN algorithm—A case study of papermaking process
- (2019) Yusha Hu et al. ENERGY
- A hybrid model based on modified multi-objective cuckoo search algorithm for short-term load forecasting
- (2019) Zhuochun Wu et al. APPLIED ENERGY
- Hybrid structures in time series modeling and forecasting: A review
- (2019) Zahra Hajirahimi et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- A novel fuzzy-based ensemble model for load forecasting using hybrid deep neural networks
- (2019) George Sideratos et al. ELECTRIC POWER SYSTEMS RESEARCH
- Indonesian electricity load forecasting using singular spectrum analysis, fuzzy systems and neural networks
- (2019) Winita Sulandari et al. ENERGY
- Short term electricity load forecasting using a hybrid model
- (2018) Jinliang Zhang et al. ENERGY
- Two stage forecast engine with feature selection technique and improved meta-heuristic algorithm for electricity load forecasting
- (2018) Noradin Ghadimi et al. ENERGY
- Probabilistic Load Forecasting using an Improved Wavelet Neural Network Trained by Generalized Extreme Learning Machine
- (2018) Mehdi Rafiei et al. IEEE Transactions on Smart Grid
- Hybrid model using three-stage algorithm for simultaneous load and price forecasting
- (2018) Mehrdad Setayesh Nazar et al. ELECTRIC POWER SYSTEMS RESEARCH
- A seasonal direct optimal hybrid model of computational intelligence and soft computing techniques for electricity load forecasting
- (2017) Fatemeh Chahkoutahi et al. ENERGY
- Semi-elliptic membership function: Representation, generation, operations, defuzzification, ranking and its application to the real-time task scheduling problem
- (2017) Pranab K. Muhuri et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Short-term load forecasting method based on fuzzy time series, seasonality and long memory process
- (2017) Hossein Javedani Sadaei et al. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING
- A novel hybrid model based on least square support vector machine and weight coefficients optimization: A case study of short-term electric load forecasting
- (2017) Yachen Wang et al. Journal of Renewable and Sustainable Energy
- A novel hybrid algorithm for electricity price and load forecasting in smart grids with demand-side management
- (2016) A. Ghasemi et al. APPLIED ENERGY
- A combined model based on multiple seasonal patterns and modified firefly algorithm for electrical load forecasting
- (2016) Liye Xiao et al. APPLIED ENERGY
- A hybrid forecasting approach applied in the electrical power system based on data preprocessing, optimization and artificial intelligence algorithms
- (2016) Ping Jiang et al. APPLIED MATHEMATICAL MODELLING
- Modelling a combined method based on ANFIS and neural network improved by DE algorithm: A case study for short-term electricity demand forecasting
- (2016) Yi Yang et al. APPLIED SOFT COMPUTING
- Time series forecasting for building energy consumption using weighted Support Vector Regression with differential evolution optimization technique
- (2016) Fan Zhang et al. ENERGY AND BUILDINGS
- Daily peak electricity demand forecasting based on an adaptive hybrid two-stage methodology
- (2016) Abderrezak Laouafi et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- Long term electricity consumption forecast in Brazil: A fuzzy logic approach
- (2016) Fabiano Castro Torrini et al. SOCIO-ECONOMIC PLANNING SCIENCES
- A hybrid application algorithm based on the support vector machine and artificial intelligence: An example of electric load forecasting
- (2015) Yanhua Chen et al. APPLIED MATHEMATICAL MODELLING
- Short term load forecasting using wavelet transform combined with Holt–Winters and weighted nearest neighbor models
- (2015) G. Sudheer et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- Short term load forecast using fuzzy logic and wavelet transform integrated generalized neural network
- (2015) D.K. Chaturvedi et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- A new fuzzy time series forecasting model combined with ant colony optimization and auto-regression
- (2015) Qisen Cai et al. KNOWLEDGE-BASED SYSTEMS
- Forecasting energy consumption of multi-family residential buildings using support vector regression: Investigating the impact of temporal and spatial monitoring granularity on performance accuracy
- (2014) Rishee K. Jain et al. APPLIED ENERGY
- A hybrid forecasting model with parameter optimization for short-term load forecasting of micro-grids
- (2014) Nian Liu et al. APPLIED ENERGY
- A new hybrid Modified Firefly Algorithm and Support Vector Regression model for accurate Short Term Load Forecasting
- (2014) Abdollah Kavousi-Fard et al. EXPERT SYSTEMS WITH APPLICATIONS
- Techniques of applying wavelet de-noising into a combined model for short-term load forecasting
- (2014) Jujie Wang et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- An annual load forecasting model based on support vector regression with differential evolution algorithm
- (2012) Jianjun Wang et al. APPLIED ENERGY
- A new hybrid day-ahead peak load forecasting method for Iran’s National Grid
- (2012) M. Moazzami et al. APPLIED ENERGY
- Day-ahead electricity price forecasting by a new hybrid method
- (2012) Jinliang Zhang et al. COMPUTERS & INDUSTRIAL ENGINEERING
- A hybrid intelligent approach for the prediction of electricity consumption
- (2012) M. Amina et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- A hybrid intelligent algorithm based short-term load forecasting approach
- (2012) Rahmat-Allah Hooshmand et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- An adaptive fuzzy combination model based on self-organizing map and support vector regression for electric load forecasting
- (2011) Jinxing Che et al. ENERGY
- An enhanced radial basis function network for short-term electricity price forecasting
- (2010) Whei-Min Lin et al. APPLIED ENERGY
- Combined modeling for electric load forecasting with adaptive particle swarm optimization
- (2010) Jianzhou Wang et al. ENERGY
- Forecasting electricity demand in Japan: A Bayesian spatial autoregressive ARMA approach
- (2009) Yoshihiro Ohtsuka et al. COMPUTATIONAL STATISTICS & DATA ANALYSIS
- Electricity demand load forecasting of the Hellenic power system using an ARMA model
- (2009) S.Sp. Pappas et al. ELECTRIC POWER SYSTEMS RESEARCH
- A fuzzy inference model for short-term load forecasting
- (2009) Rustum Mamlook et al. ENERGY POLICY
- Power load forecasting using support vector machine and ant colony optimization
- (2009) Dongxiao Niu et al. EXPERT SYSTEMS WITH APPLICATIONS
- Electric load forecasting by support vector model
- (2008) Wei-Chiang Hong APPLIED MATHEMATICAL MODELLING
- A new ARMAX model based on evolutionary algorithm and particle swarm optimization for short-term load forecasting
- (2008) Bo Wang et al. ELECTRIC POWER SYSTEMS RESEARCH
- Electricity demand loads modeling using AutoRegressive Moving Average (ARMA) models
- (2008) S.Sp. Pappas et al. ENERGY
- A granular time series approach to long-term forecasting and trend forecasting
- (2008) Ruijun Dong et al. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now