Smart grid load forecasting using online support vector regression

2017/07/21 by Petra Vrablecová, Anna Bou Ezzeddine, Viera Rozinajová +2 · 179 citations
Computer Science · Engineering · #Artificial intelligence #Big data #Computer science #Data mining #Electricity #Electricity market #Energy Load and Power Forecasting #Engineering #Grid #Real-time computing #Smart grid #Support vector machine #Time Series Analysis and Forecasting #Traffic Prediction and Management Techniques

paper · doi:10.1016/j.compeleceng.2017.07.006

published in Computers & Electrical Engineering 65, 102-117 (Elsevier BV)

openalex publication_date 2017/07/21 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/29

Citations

• Forecasting Sales by Exponentially Weighted Moving Averages

Cited by

• Defending Regression Learners Against Poisoning Attacks
• Bus travel time prediction in mixed traffic: a multisource big data approach with multiple modelling strategies
• Smart Grid Stability Prediction Model Using Neural Networks to Handle Missing Inputs. [europepmc]
• Improving the Efficiency of Multistep Short-Term Electricity Load Forecasting via R-CNN with ML-LSTM. [europepmc]
• A Comprehensive Review on Machine Learning in Healthcare Industry: Classification, Restrictions, Opportunities and Challenges. [europepmc]
• Research on Data Poisoning Attack against Smart Grid Cyber-Physical System Based on Edge Computing. [europepmc]
• Clustering and dynamic recognition based auto-reservoir neural network: A wait-and-see approach for short-term park power load forecasting. [europepmc]
• Cyber-resilient machine learning framework for accurate individual load forecasting and anomaly detection in smart grids. [europepmc]