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Duck shaped load curve supervision using demand response program with LSTM based load forecast
A large volume of solar energy dissemination in a supply grid originates extreme variations in the load, resulting in a duck-form load arc that can...
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Electric Vehicle Charging Situation Awareness for Ultra-Short-Term Load Forecast of Charging Stations
Electric vehicles (EVs) are expected to be key nodes connecting transportation—electricity—communication networks. Advanced automotive electronics...
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Renewable Forecast
In the electricity grid at any moment, balance must be maintained between electricity consumption and generation—otherwise, the disruptions of supply...
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Deep Learning-Based Densely Connected Network for Load Forecast
As we know, load forecasting plays an important role in various power system decision-making problems, such as unit commitment and economic dispatch.
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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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Construction of Digital-Twin Models of Electrical Infrastructure of Railways to Assess the Resource of Load Capacity
AbstractAn approach to constructing digital twins is presented to assess the load-capacity resource of the electrical infrastructure of railways on...
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Correlation of Day-Ahead Electric Energy Market Price with Renewable Energy Sources Generation and Load Forecast
An increase in the share of renewable energy sources has an impact on generation variability and generation forecast error, which is also reflected...
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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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Artificial Intelligence Enabled Computational Methods for Smart Grid Forecast and Dispatch
With the increasing penetration of renewable energy and distributed energy resources, smart grid is facing great challenges, which could be divided...
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Research on Classification Forecasting Method Based on Global Load Division of Typical day and Holiday Load
The national holiday policy has a significant impact on the holiday load, and the curve's shape differs from the regular daily load, making it...
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Load Aggregator Demand Response-Based Electricity Sales Strategy Considering WPC-CERI
Building a new power system dominated by renewable resource is the main approach to make the dual carbon goal come true. Nevertheless, deviation...
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Forecast for the Future
Chapters 4 and 5 introduce challenges and opportunities...
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Electricity Demand Forecast with LSTMs
Long-Short Term Memory (LSTM) networks are able to learn the complicated relationships between variables from previous and current timesteps over...
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Debris falling forecast method for spacecraft disintegrating separation
Large spacecraft fall out of orbit and re-enter the atmosphere at the end of their lifetime, and they can break up into small debris upon re-entry....
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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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Building energy efficiency: using machine learning algorithms to accurately predict heating load
The use of machine learning techniques to forecast heating load, a crucial component of building energy efficiency is examined in this work. Numerous...
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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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Heat Load Prediction of District Heating Systems Based on SCSO-TCN
AbstractHeat load prediction is crucial to the heat regulation of district heating systems (DHS). In heat load forecasting tasks, deep learning can...
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A Fuzzy-Based Approach for Short Term Load Forecasting
This paper proposes the development of a unique method of load forecasting. An essential factor in planning for develo** counties in today’s world...
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Comparative Study of Load Forecasting Techniques in Smart Microgrid
The use of time series forecasting of load has enhanced the operational reliability of power systems in recent years. Load forecasting technique is...