AisultanAlimkhan

AisultanAlimkhan's Stars

• isc-konstanz/household_data

  Data package: time series of consumption and solar generation of several small businesses and private households

  Language:Python329

• microsoft/CNTK

  Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

  Language:C++17.5k4.3k

• microsoft/acceleratoRs

  Data science and AI solution accelerator suite that provides templates for prototyping, reporting, and presenting data science analytics of specific domains

  Language:HTML145146

• saradindusengupta/Solar-Power-Forecasting

  This project is part of my final semester project work for M.Sc degree. The main scope and target here is to forecast annual solar power output from geographic locations from Asia (depends on data) and then reduce the total soft cost incurred . The work is detailed in the documentation and project report provided below.

  Language:Jupyter Notebook103

• DeanCording/node-red-contrib-solar-power-forecast

  A Node Red node to forecast the power output of a solar system under ideal conditions at a specified time

  Language:HTML64

• welbaz/p3

  Probabilisitc Prediction for PV Systems

  Language:Matlab146

• meltaxa/mySolarForecast

  Get the rest of today and tomorrow's solar energy forecast for your home solar PV system.

  Language:Python113

• adelekuzmiakova/CS229-machine-learning-solar-energy-predictions

  Predicting solar energy using machine learning (LSTM, PCA, boosting). This is our CS 229 project from autumn 2017. Report and poster are included.

  Language:Python5613

• sakshi-mishra/solar-forecasting-RNN

  Multi-time-horizon solar forecasting using recurrent neural network

  Language:Jupyter Notebook3927

• CynthiaKoopman/Forecasting-Solar-Energy

  Forecasting Solar Power: Analysis of using a LSTM Neural Network

  Language:Jupyter Notebook4221

• zygmuntz/kaggle-solar

  Code for Solar Energy Prediction Contest at Kaggle

  Language:Python1712

• asking28/Solar-forecast

  Solar Energy Foecast Using Machine Learning

  Language:Python123

• garciaev/PredictingSolarEnergy

  Playing 21 Questions with the Weather: A Decision Tree Approach to Predicting Day-Ahead Solar Energy

  Language:Jupyter Notebook32

• nailtosun/LSTM-for-Solar-Panel-Output-Prediction

  LSTM algoritm to predict solar panel system output over time using past data

  Language:Jupyter Notebook31

• abhiyerasi/Solar-Power-Prediction

  The increasing demand for energy is one of the biggest reasons behind the integration of solar energy into the electric grids or networks. To ensure the efficient use of energy PV systems it becomes important to forecast information reliably. The accurate prediction of solar power variation can enhance the quality of service. This integration of solar energy and accurate prediction can help in better planning and distribution of energy.

  Language:HTML51

• ankitcs53/Solar-Energy-Prediction-Using-ANN

  Solar Energy Prediction using artificial neural network

  Language:Python21

• ggear/asystem_archive

  ASystem

  Language:Python11

• chezou/solar-power-prediction

  Language:Jupyter Notebook54

• Pradyoth-Rao/Short-term-load-forecasting

  Short term electrical load forecasting using various machine learning techniques

  Language:Python2312

• ColasGael/Machine-Learning-for-Solar-Energy-Prediction

  Predict the Power Production of a solar panel farm from Weather Measurements using Machine Learning

  Language:Python224104

• dafrie/lstm-load-forecasting

  Electricity load forecasting with LSTM (Recurrent Neural Network)

  Language:HTML15876