Results 71 to 80 of about 108,774 (242)

Retracted: Short-Term Load Forecasting of Power System based on Neural Network Intelligent Algorithm [PDF]

, 2020
Xiaoqiang Zheng, Xinyu Ran, Mingxin Cai
openalex   +1 more source

Neural network for short-term forecasting of electric load in the power system [PDF]

, 2015
Пропонується інтелектуальна система управління, на базі штучної нейронної мережі з використанням нейронів із елементами затримки, для прогнозування надкороткострокового навантаження в енергосистемах.In this article offers intelligent control system
Тишевич, Б. Л.
core  

Short-term Power Load Forecasting Based on Gray Theory

TELKOMNIKA Indonesian Journal of Electrical Engineering, 2013
Power load forecasting provides the basis for the preparation of power planning, especially the accurate short-term power load forecasting. It can formulate power rationing program of area load reliably and timely, to maintain the normal production and life.
Cui Herui, Bo Tao, Li Yanzi
openaire   +1 more source

Power short-term load forecasting based on big data and optimization neural network

Tongxin xuebao, 2016
With the reduction of the cost of power data acquisition and the interconnection of large scale power systems,the types of data available in the power network are becoming more and more abundant.In the past,the centralized fore-casting method was limited
Xin JIN, Long-wei LI, Jia-nan JI, Zhi-qi LI, Yu HU, Yong-bin ZHAO   +5 more
doaj   +2 more sources

Optimizing Models and Data Denoising Algorithms for Power Load Forecasting

Energies
To handle the data imbalance and inaccurate prediction in power load forecasting, an integrated data denoising power load forecasting method is designed.
Yanxia Li, Ilyosbek Numonov Rakhimjon Ugli, Yuldashev Izzatillo Hakimjon Ugli, Taeo Lee, Tae-Kook Kim   +4 more
doaj   +1 more source

Short-term Electricity Load Forecasting Based on Improved Seagull Algorithm Optimized Gated Recurrent Unit Neural Network

EAI Endorsed Transactions on Energy Web
INTRODUCTION: The complexity of the power network, changes in weather conditions, diverse geographical locations, and holiday activities comprehensively affect the normal operation of power loads.
Mengfan Xu, Junyang Pan
doaj   +1 more source

Forecasting wholesale electricity prices: A review of time series models [PDF]

In this paper we assess the short-term forecasting power of different time series models in the electricity spot market. We calibrate autoregression (AR) models, including specifications with a fundamental (exogenous) variable - system load, to ...
Weron, Rafal
core   +1 more source

A power load forecasting method using cosine similarity and a graph convolutional network

Zhejiang dianli
To address the challenges of existing power load forecasting models， which struggle to deeply extract spatiotemporal correlation features and exhibit weak generalization capabilities—failing to simultaneously manage both short-term and long-term ...
JI Shan, JIANG Wei, JING Xin
doaj   +1 more source

Neural-Wavelet Based Hybrid Model for Short-Term Load Forecasting [PDF]

, 2013
Exactly power load forecasting especially the short term load forecasting is of important significance in the case of energy shortage today. Conventional ANN-based load forecasting methods deal with 24-hour-ahead load forecasting.
Chaturvedi, D. K., Premdayal, Sinha Anand   +1 more
core   +1 more source

Multi-time-horizon Solar Forecasting Using Recurrent Neural Network

, 2018
The non-stationarity characteristic of the solar power renders traditional point forecasting methods to be less useful due to large prediction errors.
Mishra, Sakshi, Palanisamy, Praveen
core   +1 more source