Short-term Power Load Forecasting Method of Data Center Considering PUE

Short-term Power Load Forecasting Method of Data Center Considering PUE

In order to accurately predict the short-term power load of data centers, a short-term load forecasting model based on long- and short-term memory neural networks is proposed, which effectively compensates for the shortcomings of feed forward neural networks that cannot process the correlation infor...

Full description

Saved in:

Bibliographic Details
Main Authors:	WU Jin-song, ZHANG Shao feng, XU Xiang-min, LI Shu-tao, HUANG Yong, LIAO Xiao
Format:	Article
Language:	zho
Published:	Harbin University of Science and Technology Publications 2021-12-01
Series:	Journal of Harbin University of Science and Technology
Subjects:	load forecasting data center deep learning power usage effectiveness long and short-term memory
Online Access:	https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=2028
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Short-term Load Forecasting Based on CNN-LSTM with Quadratic Decomposition Combined
by: DENG Bowen, et al.
Published: (2023-08-01)

A federated LSTM network for load forecasting using multi-source data with homomorphic encryption
by: Mengdi Wang, et al.
Published: (2025-03-01)

Load Forecasting Using BiLSTM with Quantile Granger Causality: Insights from Geographic–Climatic Coupling Mechanisms
by: Xianan Huang, et al.
Published: (2025-05-01)

An Optimized Power Load Forecasting Algorithm Based on VMD‐SMA‐LSTM
by: Wei Liu, et al.
Published: (2025-06-01)

Short-Term Power Load Prediction of VMD-LSTM Based on ISSA Optimization
by: Shuai Wu, et al.
Published: (2025-05-01)

Enhanced Wind Energy Forecasting Using an Extended Long Short-Term Memory Model
by: Zachary Barbre, et al.
Published: (2025-04-01)

A Methodology for Electricity Demand Forecasting Using a Hybrid Approach
by: Fanidhar Dewangan, et al.
Published: (2025-01-01)

Forecasting Stock Returns Using Long Short-Term Memory (LSTM) Model Based on Inflation Data and Historical Stock Price Movements
by: Nur Faid Prasetyo, et al.
Published: (2025-05-01)

THE IMPACT OF THE PRESIDENTIAL ELECTION ON IDX COMPOSITE PREDICTIONS USING LONG SHORT TERM MEMORY
by: Ashilla Maula Hudzaifa, et al.
Published: (2024-10-01)

Elastic Momentum-Enhanced Adaptive Hybrid Method for Short-Term Load Forecasting
by: Wenting Zhao, et al.
Published: (2025-06-01)

Cascade Machine Learning Approach Applied to Short-Term Medium Horizon Demand Forecasting
by: Bruno Brentan, et al.
Published: (2024-09-01)

A Short-Term Load Forecasting Method Considering Multiple Factors Based on VAR and CEEMDAN-CNN-BILSTM
by: Bao Wang, et al.
Published: (2025-04-01)

A Method of Communication Delay Compensation for Urban Transit SystemBased on Long-term and Short-term Memory
by: HUANG Zihao, et al.
Published: (2021-01-01)

A decomposable multi-period mixing algorithm for long-term load forecasting
by: Qi Cheng, et al.
Published: (2025-09-01)

Seasonally Adaptive VMD-SSA-LSTM: A Hybrid Deep Learning Framework for High-Accuracy District Heating Load Forecasting
by: Yu Zhang, et al.
Published: (2025-07-01)

Integrated Reliability Assessment and Optimal Reconfiguration of Islanded Microgrids Under Load Growth Using Fick’s Law Optimization Algorithm and Long Short-Term Memory Technique
by: Hieu M. Pham, et al.
Published: (2025-01-01)

Conditional Tabular GAN-Based Two-Stage Data Generation Scheme for Short-Term Load Forecasting
by: Jaeuk Moon, et al.
Published: (2020-01-01)

Research on Short-term Load Forecasting Algorithm Based on VMD and TCN
by: WANG Qing, et al.
Published: (2024-04-01)

A clustering fractional-order grey model in short-term electrical load forecasting
by: Xiang Yu, et al.
Published: (2025-02-01)

Simulation and Empirical Studies of Long Short-Term Memory Performance to Deal with Limited Data
by: Khusnia Nurul Khikmah, et al.
Published: (2025-05-01)

A Comparative Study of Machine Learning Models for Short-Term Load Forecasting
by: Etna Vianita, et al.
Published: (2025-05-01)

Univariate deep learning framework for short-term SST forecasting at high spatio-temporal scales
by: Jagdish Prajapati, et al.
Published: (2025-01-01)

Hybrid CNN–LSTM Model With Soft Attention Mechanism for Short‐Term Load Forecasting in Smart Grid
by: Syed Muhammad Hasanat, et al.
Published: (2025-05-01)

Photovoltaic Power Forecasting Based on Variational Mode Decomposition and Long Short-Term Memory Neural Network
by: Zhijian Hou, et al.
Published: (2025-07-01)

Forecasting temperature and rainfall using deep learning for the challenging climates of Northern India
by: Syed Nisar Hussain Bukhari, et al.
Published: (2025-08-01)

A hybrid statistical-dynamical forecast of seasonal streamflow for a catchment in the Upper Columbia River basin in Canada
by: Taylor Swift-LaPointe, et al.
Published: (2025-06-01)

TRAINING OF THE FUTURE INTERPRETERS’ WORKING MEMORY
by: Antonina V. Prokopenko, et al.
Published: (2021-12-01)

Integrated Energy System Load Forecasting Based on Multi-energy Demand Response and Improved BiLSTM
by: ZHANG Xiaojia, WANG Can, ZHANG Jiaheng, WANG Zhen, LI Zhiwei, ZHANG Zhaoyang, GAN Youchun
Published: (2025-04-01)

Research on short-term power load forecasting based on deep reinforcement learning with multiple intelligences
by: Tianyun Luo, et al.
Published: (2025-04-01)

Advanced Wind Speed Forecasting: A Hybrid Framework Integrating Ensemble Methods and Deep Neural Networks for Meteorological Data
by: Daniel Díaz-Bedoya, et al.
Published: (2025-06-01)

Chiller power consumption forecasting for commercial building based on hybrid convolution neural networks-long short-term memory model with barnacles mating optimizer
by: Mohd Herwan Sulaiman, et al.
Published: (2025-07-01)

Secondary Hybrid Decomposition Strategy for Wind Power Prediction Using Long Short-Term Memory With Crisscross Optimization
by: Yoseph Mekonnen Abebe, et al.
Published: (2025-01-01)

EMD combined with ensemble of machine learning predictors for foreign exchange rate forecasting
by: Duong Tuan Anh, et al.
Published: (2024-10-01)

Robust Short-Term Wind Speed Forecasting Using Adaptive Shallow Neural Networks
by: Matrenin P.V., et al.
Published: (2020-09-01)

An electrical load forecasting model based on a novel closed loop neural networks and interaction gain feature selection
by: Gholamreza Memarzadeh, et al.
Published: (2025-09-01)

Sequence to sequence architecture based on hybrid LSTM global and local encoders approach for meteorological factors forecasting
by: Guoqiang Sun, et al.
Published: (2025-07-01)

Short-Term Power Load Forecasting Using Adaptive Mode Decomposition and Improved Least Squares Support Vector Machine
by: Wenjie Guo, et al.
Published: (2025-05-01)

Dimensionality reduction for groundwater forecasting under drought and intensive irrigation with neural networks
by: Tarik Bouramtane, et al.
Published: (2025-08-01)

Deep Learning for Time-Series Forecasting With Exogenous Variables in Energy Consumption: A Performance and Interpretability Analysis
by: Ava Mohammadi, et al.
Published: (2025-01-01)

Demand Forecasting in Supply Chain Management for Rossmann Stores Using Weather Enhanced Deep Learning Model
by: Nameer Ul Haq Qureshi, et al.
Published: (2024-01-01)