Artificial neural network based short term electrical load forecasting
In power generation, a 24-hour load profile can vary significantly throughout the day. Therefore, power generation must be adjusted to reduce money loss due to excess generation. This paper presents a short-term load forecasting (STLF) system design using artificial neural network (ANN). As ANN come...
Main Authors: | Oon, Yi Her, Mahmud, Mohd. Saiful Azimi, Zainal Abidin, Mohamad Shukri, Ayop, Razman, Buyamin, Salinda |
---|---|
Format: | Article |
Language: | English |
Published: |
Institute of Advanced Engineering and Science
2022
|
Subjects: | |
Online Access: | http://eprints.utm.my/99459/1/MohdSaifulAzimi2022_ArtificialNeuralNetworkBasedShortTerm.pdf |
Similar Items
-
Agricultural rout planning with variable rate pesticide application in a greenhouse environment
by: Zangina, Umar, et al.
Published: (2021) -
Internet of things based smart environmental monitoring for mushroom cultivation
by: Mahmud, Mohd. Saiful Azimi, et al.
Published: (2018) -
Enhanced fertigation control system towards higher water saving irrigation
by: Abd. Rahman, Muhammad Khairie Idham, et al.
Published: (2018) -
Non-linear PID controller for trajectory tracking of a differential drive mobile robot
by: Zangina, Umar, et al.
Published: (2020) -
A greedy approach to improve pesticide application for precision agriculture using model predictive control
by: Zangina, Umar, et al.
Published: (2021)