Neural networks for short-term load forecasting: a review and evaluation
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Summary
This review examines a collection of papers (published between 1991 and 1999) that report the application of NNs to short-term load forecasting, and critically evaluating the ways in which the NNs proposed in these papers were designed and tested.
- Type
- review
- Published
- 2001-02-01
- Cited by
- 2,333
- References
- 97
- OpenAlex
- https://openalex.org/W2151767444
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:62472421
Keywords
Artificial neural network, Computer science, Term (time), Skepticism, Technology forecasting
References
- Neural networks for conditional probability estimation - forecasting beyond point predictions
- Forecasting in the 1990's
- Short-term Load Forecasting Using Artificial Neural Network
- Neural Networks for Conditional Probability Estimation
- Forecasting the short-term demand for electricity: Do neural networks stand a better chance?
- Neural networks for pattern recognition
- FORECASTING WITH ARTIFICIAL NEURAL NETWORKS: THE STATE OF THE ART
- Short term electrical load forecasting with artificial neural networks
- A neural network short term load forecasting model for the Greek power system
- Correspondence On the Selection of Error Measures for Comparisons Among Forecasting Methods
- Time Series Prediction: Forecasting the Future and Understanding the Past
- Forecasting Hourly Electricity Demand Using Time-Varying Splines
- Artificial neural network models for forecasting and decision making
- A new short-term load forecasting approach using self-organizing fuzzy ARMAX models
- Application of least absolute value parameter estimation based on linear programming to short-term load forecasting
- The evaluation of extrapolative forecasting methods
- Practical experiences with an adaptive neural network short-term load forecasting system
- A temperature match based optimization method for daily load prediction considering DLC effect
- Neural model identification, variable selection and model adequacy
- Model selection in neural networks
Cited by
- Nonlinear Network Time-Series Forecasting Using Redundancy Reduction
- Power System Parameters Forecasting Using Hilbert-Huang Transform and Machine Learning
- Weather depenent electricity market forecasting with neural networks, wavelet and data mining techniques
- Zonal And Regional Load Forecasting In The New England Wholesale Electricity Market: A Semiparametric Regression Approach
- Econometric models for the analysis of electricity markets
- Establishing a Solution Strategy for Electrical Demand Forecasting in Ireland
- PROBABILISTIC VOLTAGE ESTIMATION FOR THE ACTIVE CONTROL OF DISTRIBUTION NETWORKS
- An Investigation of Differencing Effect in Multiplicative Neuron Model Artificial Neural Network for Istanbul Stock Exchange Time Series Forecasting
- Prediction of total AC power output from a grid-photovoltaic system using multi-model ANN
- Load Forecasting on Special Days
- Fuzzy information granulated particle swarm optimisation-support vector machine regression for the trend forecasting of dissolved gases in oil-filled transformers
- Next 24-Hours Load Forecasting for the Western Area of Saudi Arabia Using Artificial Neural Network and Particle Swarm Optimization
- A Review of Concepts and Techniques for Emergent Customer Categorisation
- An optimized neural network for predicting settlements during tunneling excavation
- Forecast of heat demand according the Box-Jenkins methodology for specific locality
- Monitoring of the electrical distribution network operation
- Long-term electric peak load forecasting for power system planning: A comparative study
- Techniques to improve forecasting models : applications to energy demand and price
- A hierarchical hybrid neural model in short-termload forecasting.
- Prediction of grid-photovoltaic system output using three-variate ANN models
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