LAUSR

About LAUSR
Donate
Contact Us

Follow us:

You are not signed in:

Sign Up!


   Articles with "load prediction" as a keyword



Conformal load prediction with transductive graph autoencoders

Sign Up to like & get
recommendations! Published in 2024 at "Machine Learning"

DOI: 10.1007/s10994-024-06713-w

Abstract: Predicting edge weights on graphs has various applications, from transportation systems to social networks. This paper describes a Graph Neural Network (GNN) approach for edge weight prediction with guaranteed coverage. We leverage conformal prediction to… read more here.

Keywords: transductive graph; load prediction; conformal load; graph autoencoders ... See more keywords
Photo from wikipedia

A generic prediction interval estimation method for quantifying the uncertainties in ultra-short-term building cooling load prediction

Sign Up to like & get
recommendations! Published in 2020 at "Applied Thermal Engineering"

DOI: 10.1016/j.applthermaleng.2020.115261

Abstract: Abstract Ultra-short-term building cooling load prediction is useful for optimal operations of building energy systems. The uncertainties of predicted cooling loads affect the reliability of the optimal operations significantly. This paper proposes a generic prediction… read more here.

Keywords: cooling load; predicted cooling; load prediction; cooling loads ... See more keywords
Photo from wikipedia

A hybrid deep learning-based method for short-term building energy load prediction combined with an interpretation process

Sign Up to like & get
recommendations! Published in 2020 at "Energy and Buildings"

DOI: 10.1016/j.enbuild.2020.110301

Abstract: Abstract Data driven-based building energy load prediction is of great value for building energy management tasks such as fault diagnosis and optimal control. However, there are two challenges for conventional data driven-based prediction methods. The… read more here.

Keywords: energy; load prediction; method; building energy ... See more keywords
Photo from wikipedia

Remaining energy estimation for lithium-ion batteries via Gaussian mixture and Markov models for future load prediction

Sign Up to like & get
recommendations! Published in 2020 at "Journal of energy storage"

DOI: 10.1016/j.est.2020.101271

Abstract: Abstract Other than upgrading the energy storage technology employed within electric vehicles (EVs), improving the driving range estimation methods will help to reduce the phenomena, known as range anxiety. The remaining discharge energy (RDE) of… read more here.

Keywords: energy; load prediction; battery; gaussian mixture ... See more keywords

RTSLPS: Real time server load prediction system for the ever-changing cloud computing environment

Sign Up to like & get
recommendations! Published in 2019 at "Journal of King Saud University - Computer and Information Sciences"

DOI: 10.1016/j.jksuci.2019.12.004

Abstract: Abstract Cloud Computing (CC) proposes a multi-tenant framework used by multiple concurrent users, each of which exhibits different and varied behavior. Such heterogeneity shapes a highly fluctuating load and creates new usage patterns overtime at… read more here.

Keywords: load; server load; real time; load prediction ... See more keywords

Analysing wind turbine fatigue load prediction: The impact of wind farm flow conditions

Sign Up to like & get
recommendations! Published in 2017 at "Renewable Energy"

DOI: 10.1016/j.renene.2017.01.065

Abstract: Abstract Lifetime evaluation with fatigue loads is commonly used in the design phase of wind turbines, but rarely during operation due to the cost of extra measurements. Fatigue load prediction with neural networks, using existing… read more here.

Keywords: flow conditions; load prediction; fatigue load; prediction ... See more keywords

Short-term charging load prediction study of electric vehicle charging stations based on K-Medoids clustering and multi-factor optimization decomposition

Sign Up to like & get
recommendations! Published in 2025 at "Scientific Reports"

DOI: 10.1038/s41598-025-13180-3

Abstract: The strong randomness and high volatility of electric vehicle charging behaviour make the accuracy of short-term charging load prediction at charging stations low. Effective electric vehicle charging station charging load prediction is the key to… read more here.

Keywords: load; electric vehicle; charging load; usepackage ... See more keywords

Electric load prediction using SARIMAX

Sign Up to like & get
recommendations! Published in 2024 at "Australian Journal of Electrical and Electronics Engineering"

DOI: 10.1080/1448837x.2024.2405438

Abstract: ABSTRACT Electricity demand variation is one of the prevalent phenomena in Nepal. This variation can cause excess electricity during low-demand periods and a shortage during high-demand periods. An early prediction of electricity demand allows for… read more here.

Keywords: bats model; prediction; demand; load prediction ... See more keywords

Chaotic Equilibrium Optimizer-Based Green Communication With Deep Learning Enabled Load Prediction in Internet of Things Environment

Sign Up to like & get
recommendations! Published in 2024 at "IEEE Access"

DOI: 10.1109/access.2023.3345803

Abstract: Currently, there is an emerging requirement for applications related to the Internet of Things (IoT). Though the capability of IoT applications is huge, there are frequent limitations namely energy optimization, heterogeneity of devices, memory, security,… read more here.

Keywords: load; green communication; ceogc dllp; load prediction ... See more keywords

Two-Stage Traffic Load Prediction-Based Resource Reservation for Sliced HSR Wireless Networks

Sign Up to like & get
recommendations! Published in 2022 at "IEEE Wireless Communications Letters"

DOI: 10.1109/lwc.2022.3195517

Abstract: In this letter, we propose a two-stage traffic load prediction scheme for network slices (NSs) in high-speed railway (HSR) wireless networks, where in the first stage, the K-means algorithm is leveraged to cluster traffic flows,… read more here.

Keywords: load prediction; traffic load; traffic; stage ... See more keywords

MSCT: A Multi-Scale Convolutional Transformer Model for Load Prediction of Aircraft Landing Gear

Sign Up to like & get
recommendations! Published in 2025 at "IEEE Transactions on Aerospace and Electronic Systems"

DOI: 10.1109/taes.2025.3618515

Abstract: Aircraft landing gear load monitoring helps detect structural problems early and prevents potential accidents. Load prediction methods are the most important part of load monitoring, directly determining the accuracy of landing gear load assessment. However,… read more here.

Keywords: load; aircraft; landing gear; msct ... See more keywords