Exploited the long-term dependencies in the electric load time series in the States of Texas for predicting more accurate electricity usage by using the recurrent neural network and to help ERCOT develop a contingency plan to respond to the high demand electricity usage under extreme weather.
☆12May 12, 2021Updated 5 years ago
Alternatives and similar repositories for Texas-Energy-Demand-Forecasting
Users that are interested in Texas-Energy-Demand-Forecasting are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Using my smart meter electricity data from Baltimore Gas and Electric to forecast my energy demand using support vector regression.☆25Jan 13, 2016Updated 10 years ago
- SVA-DSI - basic course repository for syllabus, slides, materials☆11Apr 6, 2017Updated 9 years ago
- In this work, we compared the predictive capabilities of six different machine learning algorithms - linear regression, random forest, ex…☆18Sep 21, 2020Updated 6 years ago
- Predicting Boston Housing Prices using Linear Regression☆12Oct 14, 2019Updated 6 years ago
- Visualize your Google Location History with Leaflet and the Leaflet heatmap plugin☆14Sep 15, 2020Updated 6 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- ☆11Jun 27, 2019Updated 7 years ago
- CHRYSOULA TOURLIDA-PSYCHOLOGIST PERSONAL WEBSITE☆11Sep 4, 2026Updated 3 weeks ago
- Electricity demand forecasting with temporal convolutional networks☆22Feb 20, 2021Updated 5 years ago
- ☆10May 15, 2021Updated 5 years ago
- The study works on generating CT images from MRI images, where unsupervised learning was used using VAE-CycleGan. Since the number of sam…☆13Sep 23, 2024Updated 2 years ago
- A robust framework was proposed where outlier rejection, filling the missing values, data standardization, K-fold validation, and differe…☆18May 6, 2020Updated 6 years ago
- GNNs and Benchmarks for Node-level Load Forecasting☆18May 4, 2020Updated 6 years ago
- A searchable repository of my personal notes from readings☆18Jul 21, 2022Updated 4 years ago
- good☆13May 8, 2024Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- yes is dooo☆15May 8, 2024Updated 2 years ago
- Space Weather Monitor Application (SWMA) is an open-source application made for visualizing real-time space weather related data.☆19Oct 12, 2023Updated 2 years ago
- ☆13May 8, 2024Updated 2 years ago
- like☆13May 8, 2024Updated 2 years ago
- good☆15May 8, 2024Updated 2 years ago
- like☆15May 8, 2024Updated 2 years ago
- Forecasting Demand & Supply in a renewable energy microgrid: Using Machine Learning models: LSTM, GRU & RNN☆18Jul 27, 2019Updated 7 years ago
- Kerbal Weather Project is a groundbreaking weather and climate mod for Kerbal Space Program.☆19Sep 26, 2022Updated 4 years ago
- Minimizing Carbon Emission during EV Charging☆15Jul 1, 2022Updated 4 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- simple PCM coding implementation in MATLAB☆10Dec 28, 2015Updated 10 years ago
- Inception Recurrent Convolutional Neural Network☆16Jul 2, 2019Updated 7 years ago
- A capstone project dedicated to leveraging Style GAN (Generative Adversarial Network) to generate Brain MRI images of different contrasts☆15Nov 8, 2022Updated 3 years ago
- Echo State Networks for Time Series Forecasting☆19Jun 21, 2026Updated 3 months ago
- Implementation LSTM algorithm for stock prediction in python. Use sklearn, keras, and tensorflow.☆19May 17, 2020Updated 6 years ago
- eFoil and Esk8 remote☆11Apr 15, 2024Updated 2 years ago
- ☆12Dec 4, 2022Updated 3 years ago
- Archived graphics published using our dailygraphics rig☆16Feb 23, 2026Updated 7 months ago
- Rodrigo Rianelly's graduation project about "Distributed photovoltaic generation impact on fault location in radial distribution networks…☆11Oct 23, 2020Updated 5 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Machine Learning in Python to assess fire risk in satellite imagery and environmental conditions.☆13May 4, 2021Updated 5 years ago
- GPyTorch Implementation of Online Sparse Gaussian Process Regression☆11Apr 7, 2024Updated 2 years ago
- GE HealthCare MRI research☆21Jun 30, 2025Updated last year
- The aim of this project, is to know how to improve the quality of MRI brain images by preprocessing them and prepare the dataset for Mach…☆13Jan 1, 2023Updated 3 years ago
- A hybrid forecasting model that combines the Hilbert-Huang Transform and Multivariate Adaptive Regression Splines☆16Feb 7, 2019Updated 7 years ago
- ☆15Sep 6, 2023Updated 3 years ago
- IEEE 39 bus system with 100% IBR (4GFM and 6GFL)☆19Sep 19, 2026Updated 2 weeks ago