An approach for sales forecasting
Inaccurate sales forecasting (SF) leads to over-stock or stock-out, in which can increase
inventory costs, thereby reducing profits and return on investment. Furthermore, stock-out …
inventory costs, thereby reducing profits and return on investment. Furthermore, stock-out …
Synthetic energy data generation using time variant generative adversarial network
S Asre, A Anwar - Electronics, 2022 - mdpi.com
Energy consumption data is being used for improving the energy efficiency and minimizing
the cost. However, obtaining energy consumption data has two major challenges:(i) data …
the cost. However, obtaining energy consumption data has two major challenges:(i) data …
Short-term prediction of wind power based on BiLSTM–CNN–WGAN-GP
L Huang, L Li, X Wei, D Zhang - Soft Computing, 2022 - Springer
A short-term wind power prediction model based on BiLSTM–CNN–WGAN-GP (LCWGAN-
GP) is proposed in this paper, aiming at the problems of instability and low prediction …
GP) is proposed in this paper, aiming at the problems of instability and low prediction …
[HTML][HTML] Dual-dimension Time-GGAN data augmentation method for improving the performance of deep learning models for PV power forecasting
LM Liu, XY Ren, F Zhang, L Gao, B Hao - Energy Reports, 2023 - Elsevier
Solar energy has intermittency and volatility, which poses a serious challenge to the stable
and safe operation of the power grid. Accurate photovoltaic power prediction is one of the …
and safe operation of the power grid. Accurate photovoltaic power prediction is one of the …
NEON: Living Needs Prediction System in Meituan
Living needs refer to the various needs in human's daily lives for survival and well-being,
including food, housing, entertainment, etc. At life service platforms that connect users to …
including food, housing, entertainment, etc. At life service platforms that connect users to …
A preliminary study for selecting the appropriate AI-based forecasting model for hospital assets demand under disasters
Purpose Hospitals recently search for more accurate forecasting systems, given the
unpredictable demand and the increasing occurrence of disruptive incidents (mass casualty …
unpredictable demand and the increasing occurrence of disruptive incidents (mass casualty …
WITHDRAWN: Advanced machine learning-based analytics on COVID-19 data using generative adversarial networks
A Harshavardhan, H Bhukya, AVK Prasad - 2020 - Elsevier
Withdrawal Notice WITHDRAWN: Advanced machine learning-based analytics on COVID-
19 data using generative adversarial networksJanga Vijay kumar a, â‡', A. Harshavardhan …
19 data using generative adversarial networksJanga Vijay kumar a, â‡', A. Harshavardhan …
Multimodal prediction-based robot abnormal movement identification under variable time-length experiences
Robots will eventually make part of our daily lives, helping us at home, taking care of the
elderly, and collaborating at work. In such Human-Robot Collaboration (HRC) scenarios …
elderly, and collaborating at work. In such Human-Robot Collaboration (HRC) scenarios …
Analisis Prediktif untuk Keputusan Bisnis: Peramalan Penjualan
Peramalan penjualan produk adalah aspek utama dari manajemen pembelian, persediaan
yang melebihi permintaan atau kekurangan akan berdampak pada manajemen pelayanan …
yang melebihi permintaan atau kekurangan akan berdampak pada manajemen pelayanan …
Comparative Study of Various Machine Learning Algorithms for Pharmaceutical Drug Sales Prediction
For any business, it is essential to predict the sales of future months for proper stock
maintenance. Especially, in the pharmaceutical drug business, it is crucial to restrict the …
maintenance. Especially, in the pharmaceutical drug business, it is crucial to restrict the …