Results 21 to 30 of about 29,872 (257)

A hybrid Autoformer framework for electricity demand forecasting

Energy Reports, 2023
Electricity demand forecasting is of great significance to the electricity system and residents’ life, but it is difficult to forecast the electricity demand series because of the influence of cyclical factors.
Ziqian Wang, Zhihao Chen, Yang Yang, Chanjuan Liu, Xi’an Li, Jinran Wu   +5 more
doaj   +1 more source

A Novel Ensemble Approach for the Forecasting of Energy Demand Based on the Artificial Bee Colony Algorithm

Energies, 2020
Accurate forecasting of the energy demand is crucial for the rational formulation of energy policies for energy management. In this paper, a novel ensemble forecasting model based on the artificial bee colony (ABC) algorithm for the energy demand was ...
Jun Hao, Xiaolei Sun, Qianqian Feng
doaj   +1 more source

Demand Forecasting Tool For Inventory Control Smart Systems

Journal of Communications Software and Systems, 2021
With the availability of data and the increasing capabilities of data processing tools, many businesses are leveraging historical sales and demand data to implement smart inventory management systems.
Fatima Zohra Benhamida, Ouahiba Kaddouri, Tahar Ouhrouche, Mohammed Benaichouche, Diego Casado-Mansilla, Diego Lopez-de-Ipina   +5 more
doaj   +1 more source

A combined forecasting method for intermittent demand using the automotive aftermarket data

Data Science and Management, 2022
Intermittent demand forecasting is an important challenge in the process of smart supply chain transformation, and accurate demand forecasting can reduce costs and increase efficiency for enterprises.
Xiaotian Zhuang, Ying Yu, Aihui Chen
doaj   +1 more source

Predictive Modelling for Residential Construction Demands Using ElasticNet Regression

Buildings
The residential construction sector is critical to economic stability and housing availability. Residential construction demands often fluctuate due to demographic, economic, social, or market condition variables.
Elrasheid Elkhidir, Tirth Patel, James Olabode Bamidele Rotimi   +2 more
doaj   +1 more source

Analysis and Modeling for China’s Electricity Demand Forecasting Based on a New Mathematical Hybrid Method

Information, 2017
Electricity demand forecasting can provide the scientific basis for the country to formulate the power industry development strategy and the power-generating target, which further promotes the sustainable, healthy and rapid development of the national ...
Jie Liang, Yi Liang
doaj   +1 more source

Deep Learning-Based Risk Prediction in Power Sector Financial Management Using Transformer and Actor-Critic Reinforcement Learning

IEEE Access
Precise short-term electricity demand forecasting is crucial for the grid’s operation and reliability management, while long-term forecasting is for future energy policymaking.
Yuhuizi Xu, Dongzhu Zhu
doaj   +1 more source

Cuba in the tourism industry: demand studies

Cooperativismo y Desarrollo, 2022
The tourism industry is considered a key factor for economic development and has gained importance in national, regional and global economies. As a result, it represents one of the vital sources of income in many developing countries, mainly in the ...
Reinier Fernández López, Deysi Alfonso Porraspita, José Alberto Vilalta Alonso, Odalys Labrador Machín   +3 more
doaj  

Spring onion seed demand forecasting using a hybrid Holt-Winters and support vector machine model.

PLoS ONE, 2019
Demand for spring onion seeds is variable and maintaining its supply is crucial to the success of seed companies. Spring onion seed demand forecasting, which can help reduce the high operational costs increased by long-period propagation and complex ...
Yihang Zhu, Yinglei Zhao, Jingjin Zhang, Na Geng, Danfeng Huang   +4 more
doaj   +1 more source

Day-Ahead Electricity Demand Forecasting Using a Novel Decomposition Combination Method

Energies, 2023
In the present liberalized energy markets, electricity demand forecasting is critical for planning of generation capacity and required resources. An accurate and efficient electricity demand forecast can reduce the risk of power outages and excessive ...
Hasnain Iftikhar, Josue E. Turpo-Chaparro, Paulo Canas Rodrigues, Javier Linkolk López-Gonzales   +3 more
doaj   +1 more source