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Short-term load forecasting method based on fuzzy optimization combined model of load feature recognition
With the continuous development of smart grid construction and the gradual improvement of power market operation mechanisms, the importance of power...
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Multiplicative neuron models for very short-term load forecasting
Load forecasting has always been a crucial component of operational and managerial aspect of efficient power system planning. Since there are several...
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Advances in Deep Learning Techniques for Short-term Energy Load Forecasting Applications: A Review
Today, the majority of the leading power companies place a significant emphasis on forecasting the electricity load in the balance of power and...
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Knowledge-Data Fusion Model for Multivariate Load Short-Term Forecasting of Integrated Energy System
The short-term forecasting of multiple loads is crucial for the optimization and scheduling of integrated energy system (IES). However, the load...
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The effect of electricity consumption determinants in household load forecasting models
Usually, household electricity consumption fluctuates, often driven by several electrical consumption determinants such as income, household size,...
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Enhancing source domain availability through data and feature transfer learning for building power load forecasting
During the initial phases of operation following the construction or renovation of existing buildings, the availability of historical power usage...
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Short-term load analysis and forecasting using stochastic approach considering pandemic effects
The COVID-19 pandemic and its containment have changed the pattern of electricity load. Hence, accurate forecasting of load for shorter interval of...
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Electricity Load Forecasting Using LSTM for Household Usage
For the electrical industry to run smoothly, load projections are crucial. Electricity demand varies over time, short-term energy forecasting is very...
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A deep learning-based load forecasting algorithm for energy consumption monitoring system using dimension expansion
As a basic task in energy consumption monitoring system, load forecasting has great effects on system operation safety, generation costs and economic...
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Short-Term Electrical Load Forecasting Based on Fuzzy Rough Set Feature Selection and Multi-kernel Extreme Learning Machine
As the complexity of power systems increases, accurate load forecasting becomes crucial. This paper proposes a method for short-term electrical load...
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Short-term Power Load Forecasting Based on Phase Space Reconstruction and EMD-ELM
With the increasing complexity of the world energy structure, the uncertainty of the power system increases significantly, and the accuracy of the...
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Fuzzy Inference Model for Short-Term Load Forecasting
For planning and operation of an energy management system, load forecasting (LF) is essential. For smooth power system operation (PS), LF enhances...
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Short time load forecasting for Urmia city using the novel CNN-LTSM deep learning structure
In the present time, electricity stands as one of the most fundamental needs within human societies. This is evident in the fact that all industrial...
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A data decomposition and attention mechanism-based hybrid approach for electricity load forecasting
An accurate and reliable prediction of future energy patterns is of utmost significance for the smooth operation of several related activities such...
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Short-term forecasting electricity load by long short-term memory and reinforcement learning for optimization of hyper-parameters
Electricity load forecasting is an essential operation of the power system. Deep learning is used to improve accurate electricity load forecasting....
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Active Power Load and Electrical Energy Price Datasets for Load and Price Forecasting
Short term electric power load is an essential task for successful energy trading, smooth operation and planning of transmission andDistribution...
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Short-Term Electrical Load Forecasting Based on Time Augmented Transformer
Electrical load forecasting is of vital importance in intelligent power management and has been a hot spot in industrial Internet application field....
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Short - Term Power Load Forecasting Algorithm Based on Combination Forecasting Method
Power load prediction is very important for power supply stability and power supply pressure control, and short-term power load prediction is the...
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Cloud-load forecasting via decomposition-aided attention recurrent neural network tuned by modified particle swarm optimization
Recent improvements in networking technologies have led to a significant shift towards distributed cloud-based services. However, adequate management...
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AI-Empowered Methods for Smart Energy Consumption: A Review of Load Forecasting, Anomaly Detection and Demand Response
This comprehensive review paper aims to provide an in-depth analysis of the most recent developments in the applications of artificial intelligence...
