201614170107 Goto Github PK

2016summerresearch

Good-Turing Estimator and its Application to Data Analytics for Real-Time Electricity Markets

admm-for-lp

Experiments to speed up ADMM optimization algorithm for linear & semidefinite programming

availability-aware-matlab-charging-postprocess

MATLAB post-processing code for battery charging-aware power management experiments

awesome-matlab

A curated list of awesome Matlab frameworks, libraries and software.

batcapplanresilientprosumer

Battery capacity planning residential prosumer no-back-to-grid generation (resilient to regulatory changes)

bike-sharing-systems-optimization

🚴A generic model and a distributed algorithm for optimization of station-based bike sharing systems

btcpredictor

Bitcoin price prediction algorithm using bayesian regression techniques

computational-finance

Some matlab script for the option pricing,Monte Carlo Simulation,and jump difussion detection and modeling

convex-optimization-for-optimal-prosumer-decision-making-in-the-smart-grid

cs-with-prior-information

This repository provides a Matlab implementation of the ADMM-based solvers for L1-L1 and L1-L2 minimization.

desimax

A Probabilistic Domestic Electricity Demand Model for Demand Side Management Studies

distributed_optimization_agent_based_buildings

distributedoptimizationwithlocaldomains

Code to replicate experiments in paper

distrinet

Distributed Network Formation by Payoff-Based Learning

dpga-algorithm

Distributed Linearized Alternating Direction Method of Multipliers for Composite Convex Consensus Optimization

dsm-campus-infrastructure

Demand Side Management for a Campus Infrastructure - Incorporating Load Shifting DSM Strategy using Genetic Alogithm

eeef366

Design of an IoT-enabled Hybrid Renewable Energy Powered Smart Grid in MATLAB/Simulink environment.

energy-informatics-demand-response

energy-management-system-in-the-microgrid

energy_market

Algorithm that implements the uniform price model for energy market. Full description can be found in ergasia.pdf

energymarket

This repo contains script to aid in playing the SET3055 Energy Market Simulation game at TU Delft.

enerport-wp3-

Co-simulation of Electricity Distribution Networks and Blockchain Energy Trading Platforms

engn_2020

Codes for the course ENGN 2020

exogenous-peer-to-peer-electricity-markets

fuzzy-system-for-electricity-price-prediction

MATLAB based Fuzzy Model for Predicting Price from real time data (Queensland Australia).

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 topology can be viewed in a figure throughout the game with the yearly generation and load at each bus. In addition, dynamic color-coding is used to highlight transmission lines that exceed MVA ratings and highlight bus voltages that violate any limits. The winning objective of the player company (you) is to maximize his profit. Reliability can be tracked by viewing the N-1 generator and line contingencies every year, but this does not influence profits. There are two generation technologies used: coal and gas turbine. Each technology will have a similar competitor in the simulation. The competitor can bring down the market price and reduce the player’s profits significantly. The clock starts at T=0 in the investment game with a historical record of past prices and projected prices based on lack of investment. As time moves forward in yearly increments, the load, prices, investment costs, and other variables are adjusted to that of the player’s performance. The player has the opportunity to study various profitable and unprofitable investment alternatives each year of the simulation. If he invests at the right location, and in the right planning year, his company can make windfall profits. Competitors randomly participate in adding extra generation in random areas of the system based on the competition level settings. The challenge for the user is to study the effects of his investment decisions on market prices, reliability, and his profitability.

heston-model-euler-schemes

A university project: Investigate four different Euler discretisation schemes for the Heston stochastic volatility model when the Feller condition fails. A simulation for pricing a European call option by MATLAB is provided.

hier_opt

Constrained multilevel hierarchical optimization for energy markets

huobi-btc-auto-trade-rsi

A simple Huobi Bitcoin auto trading *SIMULATION* script written in MATLAB

hybrid-grid-simulation

Smart Grid simulation for energy efficiency using renovable energy