Results 81 to 90 of about 127,570 (181)

Research on Short-term Load Forecasting Algorithm Based on VMD and TCN

Journal of Harbin University of Science and Technology
Aiming at the low accuracy of short-term load forecasting in substation area, a temporal convolutional network short-term load forecasting algorithm based on variational mode decomposition is proposed in this paper.
WANG Qing, CHEN Zhiru, LI Guimin, JING Zhen, ZHANG Zhi, WANG Pingxin, CUI Qi   +6 more
doaj   +1 more source

Improving Short-Term Electricity Price Forecasting Using Day-Ahead LMP with ARIMA Models

, 2018
Short-term electricity price forecasting has become important for demand side management and power generation scheduling. Especially as the electricity market becomes more competitive, a more accurate price prediction than the day-ahead locational ...
Miller, Carol, Nokleby, Matthew, Wang, Caisheng, Zhao, Zhongyang   +3 more
core   +1 more source

Short-Term Load Forecasting Based on Wavelet Transform and Least Squares Support Vector Machine Optimized by Fruit Fly Optimization Algorithm

Journal of Electrical and Computer Engineering, 2015
Electric power is a kind of unstorable energy concerning the national welfare and the people’s livelihood, the stability of which is attracting more and more attention.
Wei Sun, Minquan Ye
doaj   +1 more source

Short-Term Load Forecasting 2019 [PDF]

, 2021
Antonio Gabaldón, María Carmen Ruiz-Abellón, Luis Alfredo Fernández-Jiménez   +2 more
openaire   +3 more sources

Application of Deep Learning Long Short-Term Memory in Energy Demand Forecasting

, 2019
The smart metering infrastructure has changed how electricity is measured in both residential and industrial application. The large amount of data collected by smart meter per day provides a huge potential for analytics to support the operation of a ...
D Alahakoon, Damminda Alahakoon, H-T Pao, J Barton, K Kwang-Ho, K Zhao, L Han, MQ Raza, MR Fernández, P Mirowski, P-H Kuo, S Hochreiter, SV Verdu, W Kong, Y Wang   +14 more
core   +1 more source

Short-Term Load Forecasting With Exponentially Weighted Methods

IEEE Transactions on Power Systems, 2012
Short-term load forecasts are needed for the efficient management of power systems. Although weather-based modeling is common, univariate models can be useful when the lead time of interest is less than one day. A class of univariate methods that has performed well with intraday data is exponential smoothing.
openaire   +2 more sources

Wavelet-based short-term load forecasting using optimized anfis [PDF]

, 2016
This paper focuses on forecasting electric load consumption using optimized Adaptive Neuro-Fuzzy inference System (ANFIS). It employs the use of Particle Swarm Optimization (PSO) to optimize ANFIS, with aim of improving its speed and accuracy.
Abubakar, I., Khalid, S. N., Mustafa, M. W., Mustapha, M.   +3 more
core  

Enhanced Neuro-Fuzzy Architecture for Electrical Load Forecasting [PDF]

, 2010
Previous researches about electrical load time series data forecasting showed that the result was not satisfying. This paper elaborates the enhanced neuro-fuzzy architecture for the same application.
Ferdinando, Hany, Kuswanto , Henry, Pasila, Felix   +2 more
core   +2 more sources

Short-Term Load Forecasting Using a Novel Deep Learning Framework

Energies, 2018
Short-term load forecasting is the basis of power system operation and analysis. In recent years, the use of a deep belief network (DBN) for short-term load forecasting has become increasingly popular. In this study, a novel deep-learning framework based
Xiaoyu Zhang, Rui Wang, Tao Zhang, Yajie Liu, Yabing Zha   +4 more
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