johannes-kk / Elbas-Deep-Learning
Master Thesis at the Norwegian School of Economics (NHH)
☆16Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for Elbas-Deep-Learning
- Forecasts next 24 hours of hourly energy demand with Keras, Prophet, and SARIMA (statsmodels)☆85Updated last year
- This is the final project following my time at Flatirons Data Science bootcamp. It uses Neural Networks (and other machine learning metho…☆53Updated 4 years ago
- Harvard CS109: A predictive model for electricity prices in the midwest, and more specifically, the prices of nodes where nuclear plants …☆38Updated 8 years ago
- An array of open source ML models applied to long-term hourly energy prediction for institutional buildings☆26Updated 3 years ago
- Multi-time-horizon solar forecasting using recurrent neural network☆39Updated 3 years ago
- Time series regression models using ARIMA, SARIMAX, and Recursive Neural Network to predict day-ahead and hour-ahead California wholesale…☆27Updated 5 years ago
- Winners of the Power Laws forecasting competition☆60Updated last year
- Time Series Analysis using LSTM for Wind Energy Prediction.☆82Updated 6 years ago
- Short-term load forecasting☆25Updated 4 years ago
- MachineLearningSamples-EnergyDemandTimeSeriesForecasting☆42Updated 5 years ago
- What is the SOTA technique for forecasting day-ahead and intraday market prices for electricity in Germany?☆29Updated last year
- Jupyter notebook implementing time series forecasting of energy consumption data with different methods.☆43Updated last year
- Data sets and scripts for the publication in Energy and Buildings Data driven prediction models of energy use of appliances in a low-ener…☆91Updated 7 years ago
- Work done at the H2O Open Tour NYC 2016 Hackathon, and later refinements☆19Updated 6 years ago
- ☆14Updated 5 years ago
- A framework for a multi-source, data-driven building energy management toolkit as a synthesis of established data analysis approaches in …☆16Updated last year
- Electricity demand forecasting for Austin, TX, using a combination of timeseries methods and regression models☆41Updated 6 years ago
- Data package: time series of load, wind and solar generation☆122Updated 4 years ago
- time-series prediction for predictive maintenance☆49Updated 5 years ago
- Sample project modeling battery storage and dispatch☆56Updated 5 years ago
- Forecasting Solar Power: Analysis of using a LSTM Neural Network☆43Updated 4 years ago
- Smart meter load disaggregation with Hidden Markov Models☆69Updated 3 years ago
- list of papers, code, and other resources☆62Updated 3 years ago
- Predicts the CAISO day-ahead market hourly prices using different forecasting methods including ARIMA and LSTM.☆19Updated 4 years ago
- My master's dissertation on wind turbine fault prediction using machine learning☆53Updated 7 months ago
- Energy consumption prediction using LSTM/GRU networks in PyTorch☆40Updated last year
- A simple building energy model written in Python.☆29Updated 2 years ago
- ☆36Updated 6 years ago
- Udacity Data Science Nanodegree Capstone Project: Electricity Price Forecasting using ANN☆19Updated 5 years ago