Forecasting temperature and rainfall using deep learning for the challenging climates of Northern India
Accurate temperature and rainfall (T&R) forecasting is vital for the climate-sensitive regions of Northern India, particularly Jammu, Kashmir, and Ladakh, where volatile weather patterns significantly affect livelihoods, socio-economic development, and disaster management efforts. Despite their...
Saved in:
| Main Authors: | Syed Nisar Hussain Bukhari, Kingsley A. Ogudo |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
PeerJ Inc.
2025-08-01
|
| Series: | PeerJ Computer Science |
| Subjects: | |
| Online Access: | https://peerj.com/articles/cs-3012.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Methodology for Electricity Demand Forecasting Using a Hybrid Approach
by: Fanidhar Dewangan, et al.
Published: (2025-01-01) -
Enhanced Wind Energy Forecasting Using an Extended Long Short-Term Memory Model
by: Zachary Barbre, et al.
Published: (2025-04-01) -
A big data framework for short-term power load forecasting using heterogenous data
by: Haibo ZHAO, et al.
Published: (2022-12-01) -
Fractional Optimizers for LSTM Networks in Financial Time Series Forecasting
by: Mustapha Ez-zaiym, et al.
Published: (2025-06-01) -
Empowering data-driven load forecasting by leveraging long short-term memory recurrent neural networks
by: Waqar Waheed, et al.
Published: (2024-12-01)