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Kiyana Baghbadrani's Projects

bootstrap icon bootstrap

The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.

energy_systems_and_control-projects icon energy_systems_and_control-projects

Projects related to Energy Systems and Control covering Flight Path Optimization, Battery Modeling, State Estimation, Optimal Economic Dispatch of Distribution, Forecasting Electricity Power Consumption, Optimal PHEV Energy Management

ldes-hunter-et-al-2021 icon ldes-hunter-et-al-2021

Repository for the 2021 Joule paper "Techno-economic analysis of long-duration energy storage and flexible power generation technologies to support high variable renewable energy grids."

northamerican-energy-analysis icon northamerican-energy-analysis

This project analyzes the correlation between energy production and the economics of U.S and Canada, in terms of oil exports, GDP and dollar index or exchange rate. Despite the large oil reserve in Canada, the world is shifting towards using clean and renewable energy.

renewable-energy icon renewable-energy

Python script for analyzing and illustrating energy data and country economics.

time-series-analysis-by-sequence-modelling icon time-series-analysis-by-sequence-modelling

Modeling multivariate time series has long been an attractive subject from a diverse range of fields including renewable energy, economics, finance, and traffic. A basic assumption behind multivariate time series forecasting is that its variables depend on one another but, upon looking closely, it is fair to say that existing methods fail to fully exploit latent spatial dependencies between pairs of variables. To obtain accurate prediction, it is crucial to model long-term dependency in time series data, which can be achieved to some good extent by sequence modelling.

time-series-econometrics-analysis-of-libor-interbanks-rate-using-eviews icon time-series-econometrics-analysis-of-libor-interbanks-rate-using-eviews

The aim of this project is to inspect a set of real data (US dollar LIBOR interbank rates, observed in the period 1961-2008) to understand whether the Pure Expectation Hypothesis holds and can be used to predict the markets’ expectations of the future rates by using the term structure of today rates.

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