Results 31 to 40 of about 8,580 (164)

Short-Term Electrical Load Forecasting Based on Time Augmented Transformer

International Journal of Computational Intelligence Systems, 2022
Electrical load forecasting is of vital importance in intelligent power management and has been a hot spot in industrial Internet application field. Due to the complex patterns and dynamics of the data, accurate short-term load forecasting is still a ...
Guangqi Zhang, Chuyuan Wei, Changfeng Jing, Yanxue Wang   +3 more
doaj   +1 more source

A short-term power load forecasting method for industrial sectors based on an improved correlation analysis

Zhejiang dianli, 2023
Accurate forecasting of short-term power load for industrial sectors plays a pivotal role in ensuring the safe and economic operation of regional power grids. To address this critical need， a short-term power load forecasting model in industries based on
YU Yinshu, CHEN Donghai, ZHU Geng, HE Xu, BAI Wenbo   +4 more
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A Short-Term Load Forecasting Method Based on Load Curve Clustering and Elastic Net Analysis

Zhongguo dianli, 2020
A short-term load forecasting method based on load characteristics clustering and elastic net analysis is proposed in this paper. By analyzing and clustering the historical load characteristics, the annual days are classified and its clusters are ...
Bingjie JIN, Yong LIN, Shuxin LUO, Bin WEI, Shucan ZHOU   +4 more
doaj   +1 more source

Short-term load forecasting using Theta method [PDF]

E3S Web of Conferences, 2019
The Theta method attracted the attention of researchers and practitioners in recent years due to its simplicity and superior forecasting accuracy. Its performance has been confirmed by many empirical studies as well as forecasting competitions.
Dudek Grzegorz
doaj   +1 more source

Construction and Application of Short-Term and Mid-Term Power System Load Forecasting Model Based on Hybrid Deep Learning

IEEE Access, 2023
Power system load forecasting model plays an important role in all aspects of power system planning, operation and control. Therefore, accurate power load forecasting provides an important guarantee for the stable operation of the power grid system. This
Hongsheng Xu, Ganglong Fan, Guofang Kuang, Yanping Song   +3 more
doaj   +1 more source

Individualized Short-Term Electric Load Forecasting Using Data-Driven Meta-Heuristic Method Based on LSTM Network

Sensors, 2022
Short-term load forecasting is viewed as one promising technology for demand prediction under the most critical inputs for the promising arrangement of power plant units.
Lichao Sun, Hang Qin, Krzysztof Przystupa, Michal Majka, Orest Kochan   +4 more
doaj   +1 more source

Short-Term Load Forecasting Using AMI Data

IEEE Internet of Things Journal, 2023
Accurate short-term load forecasting is essential for the efficient operation of the power sector. Forecasting load at a fine granularity such as hourly loads of individual households is challenging due to higher volatility and inherent stochasticity.
Haris Mansoor, Sarwan Ali, Imdad Ullah Khan, Naveed Arshad, Muhammad Asad Khan, Safiullah Faizullah   +5 more
openaire   +2 more sources

Short- and Very Short-Term Firm-Level Load Forecasting for Warehouses: A Comparison of Machine Learning and Deep Learning Models

Energies, 2022
Commercial buildings are a significant consumer of energy worldwide. Logistics facilities, and specifically warehouses, are a common building type which remain under-researched in the demand-side energy forecasting literature.
Andrea Maria N. C. Ribeiro, Pedro Rafael X. do Carmo, Patricia Takako Endo, Pierangelo Rosati, Theo Lynn   +4 more
doaj   +1 more source

Research on short-term power load forecasting based on deep reinforcement learning with multiple intelligences

EAI Endorsed Transactions on Energy Web
A reliable supply of power systems is critical for industry, commerce, and residential life. Improving the accuracy and reliability of short-term electricity load forecasting plays a crucial role in ensuring the satisfaction of electricity demand and ...
Tianyun Luo, Dunlin Zhu, Jinming Liu, Sheng Yang, Jinglong He, Yuan Fu   +5 more
doaj   +1 more source

Short-Term Power Load Forecasting: An Integrated Approach Utilizing Variational Mode Decomposition and TCN–BiGRU

Energies, 2023
Accurate short-term power load forecasting is crucial to maintaining a balance between energy supply and demand, thus minimizing operational costs. However, the intrinsic uncertainty and non-linearity of load data substantially impact the accuracy of ...
Zhuoqun Zou, Jing Wang, Ning E, Can Zhang, Zhaocai Wang, Enyu Jiang   +5 more
doaj   +1 more source