-
Predicting the output of renewable energy sources like solar and wind is challenging due to their variability. Machine learning models can analyze real-time data from weather forecasts, location and o…
-
https://arxiv.org/abs/1702.08165
TMats updated
7 years ago
-
### Feedback on Sustainable-IPA proposal
### Strengths:
- **Relevant and Timely Focus**: Tackling energy consumption in AI is a crucial topic in today’s AI and machine learning landscape, and expa…
-
## Weekly Notebook Entry — Week 4
### Overview
- **Week Span:** `9/9` to `9/15`
### Tasks for This Week
- [ ] Task 1: Give an overview of the models that were previously used (Multivariate Reg…
-
## Weekly Notebook Entry — Week [01]
### Overview
- **Week Span:** `[9/9]` to `[9/15]`
### Tasks for This Week
List your specific objectives for this week, including learning targets and pro…
-
## Proposal Summary
Add a mechanism to measure and track the carbon footprint of training and inferencing machine learning models.
This feature would integrate a carbon tracking feature, allowing …
-
## Claim Extraction in Solar Energy News Articles
### Team
- 202318013 - Vrishmi Parikh
- 202318030 - Mahmood Topiwala
- 202318039 - Anurag Shukla
- 202318056 - Tanaz Pathan
### Categor…
-
-
hello, Thanks for your excellent work. I red your paper"Energy Management System for Microgrids based on Deep Reinforcement Learning" last day, but i can not find your source code through the url "…
-
- [ ] Selecting a subset of representative dataset to analyze. This dataset should include high quality of face and side view videos (visible illumination, minimal obstruction from the 2-photon lens, …