AI-big data analytics for building automation and management systems: a survey, actual challenges and future perspectives
In theory, building automation and management systems (BAMSs) can provide all the
components and functionalities required for analyzing and operating buildings. However, in …
components and functionalities required for analyzing and operating buildings. However, in …
Review of family-level short-term load forecasting and its application in household energy management system
P Ma, S Cui, M Chen, S Zhou, K Wang - Energies, 2023 - mdpi.com
With the rapid development of smart grids and distributed energy sources, the home energy
management system (HEMS) is becoming a hot topic of research as a hub for connecting …
management system (HEMS) is becoming a hot topic of research as a hub for connecting …
Electrical load forecasting using LSTM, GRU, and RNN algorithms
Forecasting the electrical load is essential in power system design and growth. It is critical
from both a technical and a financial standpoint as it improves the power system …
from both a technical and a financial standpoint as it improves the power system …
Convolutional and recurrent neural network based model for short-term load forecasting
H Eskandari, M Imani, MP Moghaddam - Electric Power Systems Research, 2021 - Elsevier
The consumed electrical load is affected by many external factors such as weather, season
of the year, weekday or weekend and holiday. In this paper, it is tried to provide a high …
of the year, weekday or weekend and holiday. In this paper, it is tried to provide a high …
Review of low voltage load forecasting: Methods, applications, and recommendations
The increased digitalisation and monitoring of the energy system opens up numerous
opportunities to decarbonise the energy system. Applications on low voltage, local networks …
opportunities to decarbonise the energy system. Applications on low voltage, local networks …
A deep learning framework using multi-feature fusion recurrent neural networks for energy consumption forecasting
L Fang, B He - Applied Energy, 2023 - Elsevier
Accurate energy load forecasting can not only provide favorable conditions for ensuring
energy security but also reduce carbon emissions and thereby slow down the process of …
energy security but also reduce carbon emissions and thereby slow down the process of …
Short-term load forecasting for microgrid energy management system using hybrid SPM-LSTM
Load forecasting in power microgrids and load management systems is still a challenge and
needs an accurate method. Although in recent years, short-term load forecasting is done by …
needs an accurate method. Although in recent years, short-term load forecasting is done by …
[HTML][HTML] A hybrid CNN-GRU based probabilistic model for load forecasting from individual household to commercial building
In load forecasting, build load is relatively difficult to predict due to its variability and
uncertainty. This study intends to develop a hybrid deep learning models and quantile …
uncertainty. This study intends to develop a hybrid deep learning models and quantile …
An integrated federated learning algorithm for short-term load forecasting
Y Yang, Z Wang, S Zhao, J Wu - Electric Power Systems Research, 2023 - Elsevier
Accurate power load forecasting plays an integral role in power systems. To achieve high
prediction accuracy, models need to extract effective features from raw data, and the training …
prediction accuracy, models need to extract effective features from raw data, and the training …
An effective dimensionality reduction approach for short-term load forecasting
Y Yang, Z Wang, Y Gao, J Wu, S Zhao… - Electric Power Systems …, 2022 - Elsevier
Accurate power load forecasting has a significant effect on a smart grid by ensuring effective
supply and dispatching of power. However, electric load data generally possesses the …
supply and dispatching of power. However, electric load data generally possesses the …