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Using Smart Meter Data to Improve the Accuracy of Intraday Load Forecasting Considering Customer Behavior Similarities
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Long Term Probabilistic Load Forecasting and Normalization With Hourly Information
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Permutation test and bootstrap methods for unsupervised detection and estimation of behind‐the‐meter photovoltaic generation
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Medium‐term forecasting of daily aggregated peak loads from heat pumps using clustering‐based load duration curves to calculate the annual impact on medium to low voltage transformers
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Analysis of User Energy Consumption Patterns Based on Data Mining
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Validation of the Energy Demand Load Profile Estimator “PROFet” for Trondheim Non-residential Buildings
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IoT based energy monitoring and energy theft detection
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Residential load and rooftop PV generation: an Australian distribution network dataset
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Spark-based Parallel OS-ELM Algorithm Application for Short-term Load Forecasting for Massive User Data
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Short-term Load Forecasting for Distribution Substations Based on Residual Neutral Networks and Long Short-Term Memory Neutral Networks with Attention Mechanism
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Medium- and long-term electric power demand forecasting based on the big data of smart city
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Large scale smart meter data assessment for energy benchmarking and occupant behaviour profile development
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Artificial intelligence for water–energy nexus demand forecasting: a review
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EMPOWERING, a Smart Big Data Framework for Sustainable Electricity Suppliers
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Deep Learning for Daily Peak Load Forecasting–A Novel Gated Recurrent Neural Network Combining Dynamic Time Warping
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Day-Ahead Hierarchical Probabilistic Load Forecasting With Linear Quantile Regression and Empirical Copulas
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Incorporating Load Fluctuation in Feature Importance Profile Clustering for Day-Ahead Aggregated Residential Load Forecasting
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EGA-STLF: A Hybrid Short-Term Load Forecasting Model
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A Deep Learning Method for Short-Term Residential Load Forecasting in Smart Grid
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A Comprehensive Review of the Load Forecasting Techniques Using Single and Hybrid Predictive Models
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Short-Term Industrial Load Forecasting Based on Ensemble Hidden Markov Model
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A Hybrid Short-Term Load Forecasting Model Based on Improved Fuzzy C-Means Clustering, Random Forest and Deep Neural Networks
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Past Vector Similarity for Short Term Electrical Load Forecasting at the Individual Household Level
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Deep Learning-Based Short-Term Load Forecasting Approach in Smart Grid With Clustering and Consumption Pattern Recognition
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A Joint Optimization Model for Energy and Reserve Capacity Scheduling With the Integration of Variable Energy Resources
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A Bottom-up Method for Probabilistic Short-Term Load Forecasting Based on Medium Voltage Load Patterns
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Monthly Electricity Demand Patterns and Their Relationship With the Economic Sector and Geographic Location
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Short-Term Energy Consumption Forecasting at the Edge: A Federated Learning Approach
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Two-Stage Clustering of Household Electricity Load Shapes for Improved Temporal Pattern Representation
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An Improved Non-Schedulable Load Forecasting Strategy for Enhancing the Performance of the Energy Management in a Nearly Zero Energy Building
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Resolving Energy Consumption Issues and Spectrum Allocation for Future Broadband Networks
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Improving Clustering-Based Forecasting of Aggregated Distribution Transformer Loadings With Gradient Boosting and Feature Selection
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Smart-Meter Big Data for Load Forecasting: An Alternative Approach to Clustering
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A Survey of Preprocessing Methods Used for Analysis of Big Data Originated From Smart Grids
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Smart Meters for Smart Energy: A Review of Business Intelligence Applications
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K-Means and Alternative Clustering Methods in Modern Power Systems
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Artificial Intelligence and Behavioral Economics: A Bibliographic Analysis of Research Field
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Similarity-Based Clustering for Identification and Segmentation of Responsive Electricity Customers
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Optimized Ensemble Deep Learning for User Load Forecasting and Residual-Based Anomaly Detection
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Day ahead Residential load forecasting with neural memory network
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Hierarchical Structure Based Energy Consumption Forecasting in Top-Down Approach
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Spatial estimation of electricity consumption using socio-demographic information
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Building power demand forecasting using K-nearest neighbors model - initial approach
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Dynamics of Electricity Consumers for Classifying Power Consumption Data Using PCA
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Data driven modeling for energy consumption prediction in smart buildings
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Short-term load forecasting based on MB-LSTM neural network
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Distributed Short-Term Load Forecasting for Interconnecting Power Systems
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Short-term Load Forecasting based on Kalman Filter and Nonlinear Autoregressive Neural Network
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Short-Term Load Forecasting Method for AC/DC Distribution System Based on Ensemble Learning
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Construction of influence factor database based on the accuracy of load forecasting results
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Time Series Load Forecasting using Multitask Deep Neural Network
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A Comparative Study on Deep Learning Methods for Forecasting Load in Smart Grid
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A/C Load Forecasting Using Deep Learning
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KAN-Mamba: Interpretable Parallel Hybrid Architecture for Short-Term Load Forecasting with State Space Models
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Temporal Convolutional Network Based Short-term Load Forecasting Model
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Hierarchically coordinated ultra-short term load forecasting for load aggregator
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Integrated Multi-Horizon Power and Energy Forecast for Aggregated Electric Water Heaters
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Analyzing Smart Home Energy Consumption Patterns Using IoT Sensor Data and Machine Learning Methods
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Short-term load forecasting based on PSO-ELM
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Deterministic Multi-Energy Load Forecasting for Integrated Energy Management System Using a Random Search Transformer Network
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An Ensemble Method for Aggregated Baseline Load Estimation: From Probabilistic Perspective
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A Predictive Rolling Optimization Method of Load Balancing in Low-voltage Active Distribution Network
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Probabilistic commercial load profiles at different climate zones
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Probabilistic Models for Residential and Commercial Loads with High Time Resolution
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Research on Unbalance Control Method of Distribution Network Based on Cascaded Single Phase Converter
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