kamalchapagain Goto Github PK

beyond-cost

Code and data to reproduce the research results of the research: 'Beyond cost reduction. Improving the value of energy storage'

dgen

The Distributed Generation Market Demand (dGen) model simulates customer adoption of distributed energy resources (DERs) for residential, commercial, and industrial entities in the United States and other countries.

electricity-demand-forecasting

For Thailand and Hokkaido Japan

electricity-demand-forecasting-for-thailand

genco-investment-strategies-by-simulation-for-demand-side-role-for-investments-and-capacity-adequacy

This project will present an applied and game-like approach to simulating the load growth, investment decisions by two types of generation technologies, demand-price responsiveness, and reliability, of a test-case power system. The simulation begins as a 9-bus system with existing generation (3 generators) and transmission lines (8 lines). System t

githubtest

https-github.com-kamalchapagain-m5-forecasting

kaggle_competition_solutions

kamalchapagain.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

lemlab

an open-source tool for the multi-agent-based development and testing of local energy market applications

load_forecasting

Forecasting electric power load of Delhi using ARIMA, RNN, LSTM, and GRU models

m5-forecasting

ml-electricity-market

Machine Learning (90948) final project at UniGe + C1A0 hackathon

nempy

A Python package for modelling the Australian National Electricity Market dispatch procedure

netloadforecasting

Looks very interesting

opengridgym

rl-p2p-price-prediction

Real-time price prediction in P2P energy systems

timeseries_seq2seq

This repo aims to be a useful collection of notebooks/code for understanding and implementing seq2seq neural networks for time series forecasting. Networks are constructed with keras/tensorflow.

webtraffic