Short-Term Load Forecasting With Deep Residual Networks
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- Type
- article
- Published
- 2018-05-30
- Cited by
- 554
- References
- 61
- Access
- Open access
- OpenAlex
- https://openalex.org/W2805797750
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:44116467
Keywords
Residual, Computer science, Generalization, Probabilistic logic, Artificial intelligence
References
- Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
- A Novel RBF Training Algorithm for Short-Term Electric Load Forecasting and Comparative Studies
- An Incremental Design of Radial Basis Function Networks
- Electric load forecasting methods: Tools for decision making
- Application of echo state networks in short-term electric load forecasting
- Short-Term Load Forecasting with Neural Network Ensembles: A Comparative Study [Application Notes]
- Short-term load forecasting of power systems by combination of wavelet transform and neuro-evolutionary algorithm
- Improving deep neural networks for LVCSR using rectified linear units and dropout
- Long Short-Term Memory
- Short-term load forecasting of Australian National Electricity Market by an ensemble model of extreme learning machine
- A Strategy for Short-Term Load Forecasting by Support Vector Regression Machines
- Comprehensive learning particle swarm optimization based memetic algorithm for model selection in short-term load forecasting using support vector regression
- Dropout: a simple way to prevent neural networks from overfitting
- Short-term load forecasting for the holidays using fuzzy linear regression method
- Feature extraction via multiresolution analysis for short-term load forecasting
- Nonparametric regression based short-term load forecasting
- Short-term load forecasting: Multi-level wavelet neural networks with holiday corrections
- Short-term load forecasting by wavelet transform and evolutionary extreme learning machine
- A comparison of univariate methods for forecasting electricity demand up to a day ahead
- Electric Load Forecasting Based on Locally Weighted Support Vector Regression
Cited by
- Short-Term Load Forecasting of Natural Gas with Deep Neural Network Regression †
- Optimized Operation of cascade reservoirs Considering Complementary Characteristics between wind and photovoltaic based on variational auto-encoder
- A New Load Prediction Method and Management of Distributed Power System in Island Mode of a Large Hospital
- Deep Learning Based on Multi-Decomposition for Short-Term Load Forecasting
- Deep learning framework to forecast electricity demand
- A Review of Deep Learning with Special Emphasis on Architectures, Applications and Recent Trends
- Short-Term Electric Load and Price Forecasting Using Enhanced Extreme Learning Machine Optimization in Smart Grids
- Lithium-ion battery modeling based on Big Data
- Nonparametric Online Learning Using Lipschitz Regularized Deep Neural Networks
- Vulnerabilities of Power System Operations to Load Forecasting Data Injection Attacks
- Distributed approach in fault localisation and service restoration: State-of-the-Art and future direction
- Using Cluster Analysis and Least Square Support Vector Machine to Predicting Power Demand for the Next-Day
- Using Bayesian Deep Learning to Capture Uncertainty for Residential Net Load Forecasting
- Exploiting Vulnerabilities of Load Forecasting Through Adversarial Attacks
- Residential load forecasting using wavelet and collaborative representation transforms
- Forecasting in Blockchain-Based Local Energy Markets
- Deep Learning for Time Series Forecasting: The Electric Load Case
- Deep learning-based rolling horizon unit commitment under hybrid uncertainties
- LoadCNN: A Efficient Green Deep Learning Model for Day-ahead Individual Resident Load Forecasting
- Reliable Photovoltaic Generation Forecasting via Quantile Determination
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