Medium-Term Electric Load Forecasting Using Multivariable Linear and Non-Linear Regression

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Cite
Abu-Shikhah, Nazih, et al. “Medium-Term Electric Load Forecasting Using Multivariable Linear and Non-Linear Regression”. Smart Grid and Renewable Energy, vol. 02, no. 02, 2011, pp. 126-35, https://doi.org/10.4236/sgre.2011.22015.
Abu-Shikhah, N., Elkarmi, F., & Aloquili, O. M. (2011). Medium-Term Electric Load Forecasting Using Multivariable Linear and Non-Linear Regression. Smart Grid and Renewable Energy, 02(02), 126-135. https://doi.org/10.4236/sgre.2011.22015
Abu-Shikhah N, Elkarmi F, Aloquili OM. Medium-Term Electric Load Forecasting Using Multivariable Linear and Non-Linear Regression. Smart Grid and Renewable Energy. 2011;02(02):126-35.
Refrences
Title Journal Journal Categories Citations Publication Date
Medium Term Electric Load Forecasting Using TLFN Neural Networks

INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL
  • Technology: Technology (General): Industrial engineering. Management engineering: Automation
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Mechanical engineering and machinery
  • Science: Science (General): Cybernetics: Information theory
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
14 2006
Medium Term Electric Load Forecasting Using TLFN Neural Networks

INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL
  • Technology: Technology (General): Industrial engineering. Management engineering: Automation
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Mechanical engineering and machinery
  • Science: Science (General): Cybernetics: Information theory
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
14 2006
Medium Term Electric Load Forecasting Using TLFN Neural Networks

INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL
  • Technology: Technology (General): Industrial engineering. Management engineering: Automation
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Mechanical engineering and machinery
  • Science: Science (General): Cybernetics: Information theory
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
14 2006
Medium Term Electric Load Forecasting Using TLFN Neural Networks

INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL
  • Technology: Technology (General): Industrial engineering. Management engineering: Automation
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Mechanical engineering and machinery
  • Science: Science (General): Cybernetics: Information theory
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
14 2006
Medium Term Electric Load Forecasting Using TLFN Neural Networks

INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL
  • Technology: Technology (General): Industrial engineering. Management engineering: Automation
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Mechanical engineering and machinery
  • Science: Science (General): Cybernetics: Information theory
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
14 2006
Citations
Title Journal Journal Categories Citations Publication Date
Residual LSTM based short-term load forecasting Applied Soft Computing
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
8 2023
A Levenberg–Marquardt Based Neural Network for Short-Term Load Forecasting Computers, Materials & Continua 1 2023
Enhancing Electrical Load Prediction Using a Bidirectional LSTM Neural Network

Electronics
  • Science: Science (General): Cybernetics: Information theory
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Science: Physics
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
1 2023
Ultra Short-Term Power Load Forecasting Based on Similar Day Clustering and Ensemble Empirical Mode Decomposition

Energies
  • Technology
  • Technology: Environmental technology. Sanitary engineering
  • Social Sciences: Industries. Land use. Labor: Special industries and trades: Energy industries. Energy policy. Fuel trade
  • Technology: Engineering (General). Civil engineering (General)
7 2023
New Method of Modeling Daily Energy Consumption

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  • Technology
  • Technology: Environmental technology. Sanitary engineering
  • Social Sciences: Industries. Land use. Labor: Special industries and trades: Energy industries. Energy policy. Fuel trade
  • Technology: Engineering (General). Civil engineering (General)
2 2023
Citations Analysis
Category Category Repetition
Technology: Engineering (General). Civil engineering (General)13
Technology: Environmental technology. Sanitary engineering9
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics8
Social Sciences: Industries. Land use. Labor: Special industries and trades: Energy industries. Energy policy. Fuel trade8
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks7
Technology6
Science: Science (General): Cybernetics: Information theory5
Science: Mathematics: Instruments and machines: Electronic computers. Computer science4
Science: Physics3
Technology: Electrical engineering. Electronics. Nuclear engineering3
Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication3
Science: Chemistry2
Technology: Technology (General): Industrial engineering. Management engineering2
Technology: Mechanical engineering and machinery: Renewable energy sources2
Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software2
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware2
Technology: Mechanical engineering and machinery2
Science: Biology (General)1
Science: Chemistry: General. Including alchemy1
Technology: Chemical technology1
Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials1
Geography. Anthropology. Recreation: Environmental sciences1
Science: Biology (General): Ecology1
Science: Astronomy: Astrophysics1
Technology: Building construction: Architectural engineering. Structural engineering of buildings1
Technology: Chemical technology: Chemical engineering1
Science: Science (General)1
The category Technology: Engineering (General). Civil engineering (General) 13 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Subspace Projection Method Based Clustering Analysis in Load Profiling and was published in 2014. The most recent citation comes from a 2023 study titled Enhancing Electrical Load Prediction Using a Bidirectional LSTM Neural Network. This article reached its peak citation in 2022, with 6 citations. It has been cited in 20 different journals, 35% of which are open access. Among related journals, the Energies cited this research the most, with 6 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year