Results 81 to 90 of about 11,326 (149)

Results corresponding to our Return forecasting using five computational methods: Temporal Fusion Transformers (TFT) [12], Long Short-Term Memory Networks (LSTM) [60], Transformer [11], Probabilistic Forecasting with Autoregressive Recurrent Networks (Deep AR) [54] and Deep State Space (DSS) [53].

The y-axes are inverted for better visualization. Each panel shows the Symmetric Mean Absolute Percentage Error (sMAPE) achieved using different variants of covariate inputs from domestic and foreign markets for different countries.
Matías Nicolás Bossa (18446605), Abel Díaz Berenguer (18446599), Yifei Da (18446602), Meshia Cédric Oveneke (18446608), Hichem Sahli (3072336)   +4 more
core   +1 more source

Enhanced Deep Learning Method for Natural Gas Pipeline Flow Prediction Based on Integrated Learning

IEEE Access
Urban gas pipelines must contend with situations such as road construction and excavation for house building, where short-term emergencies leading to large-scale leaks pose significant risks to both people and the environment.
Yunhao Li, Changjing Sun, Qiang Li
doaj   +1 more source

Symmetry-Aware Short-Term Load Forecasting in Distribution Networks: A Synergistic Enhanced KMA-MVMD-Crossformer Framework

Accurate and efficient short-term load forecasting is crucial for the secure and stable operation and scheduling of power grids. Addressing the inability of traditional Transformer-based prediction models to capture symmetric correlations between ...
Shuolin Zhang, Qi You, Haowen Liu, Kunhua Liu, Huiping Guo, Jingfeng Zhao, Lan Bai   +6 more
core   +1 more source

Dagliga Försäljningsprognoser för Livsmedel med Maskininlärning

, 2020
Improved sales forecasts for individual products in retail stores can have a positive effect both environmentally and economically. Historically these forecasts have been done through a combination of statistical measurements and experience.
Fredén, Daniel, Larsson, Hampus
core  

A Hybrid ARIMA and Artificial Neural Networks Model Using L-BFGS-B Method for Forecasting the Annual Chicken Meat Production

สินค้าปศุสัตว์มีบทบาทที่สำคัญสำหรับการบริหารจัดการด้านความมั่นคงทางอาหาร โดยผลิตภัณฑ์เนื้อไก่เป็นหนึ่งในสินค้าปศุสัตว์ที่สำคัญ ซึ่งเป็นแหล่งโปรตีนที่สำคัญสำหรับประชากรและนิยมบริโภคในหลายประเทศทั่วโลก รวมทั้งมีปริมาณความต้องการที่เพิ่มขึ้นอย่างต่อเน ...
Visavadamrong, Chalermchon; Logistics Engineering, School of Engineering, University of the Thai Chamber of Commerce, Bangkok, Sujjaviriyasup, Thoranin; Logistics Engineering, School of Engineering, University of the Thai Chamber of Commerce, Bangkok   +1 more
core   +1 more source

Long-memory modeling and forecasting of monthly mean sunspot numbers for cycles 25 & 26 using ARFIMA model. [PDF]

Sci Rep
Abdel Rahman HI, Eid D.
europepmc   +1 more source

Prediction of Range Error in GPS Signals during X-Class Solar Flares Occurred between January–April 2023 Using OKSM and RNN

Positioning, navigation and time are the cornerstones of satellite navigation. These aspects are frequently affected by ionospheric variations caused by solar flares (SF).
Vijay, M., Dass, Sarat C.; id_orcid, Mukesh, R., Kiruthiga, S., Asirvadam, Vijanth Sagayan   +4 more
core   +1 more source

Velocity gauge for oscillator strength in ΔSCF theory. [PDF]

J Chem Phys
Shen Y, Fan Y, Yang W.
europepmc   +1 more source

Multiresolution Quantum Chemistry: Nonlinear Response Properties at the Basis Set Limit. [PDF]

J Chem Theory Comput
Hurtado A, Sekino H, Harrison RJ.
europepmc   +1 more source

The dynamic urban river water quality prediction based on hybrid model. [PDF]

Sci Rep
Xu J, Song J, Yang Y, Ren R, Wang S, Lin H, Chen C.   +6 more
europepmc   +1 more source