Articles — Project / Lab Report

Determining the price of a rail ticket from data of Spanish railways

Making predictions is something a business or system depends on, which is indirectly dependant on data analytics. Data analytics is the science of analyzing raw data in order to make conclusions about that information.This analysis can then be used to optimize processes to increase the overall efficiency of a business or system. The dataset here, that we have obtained from Kaggle, is a sample of the transactions made in a retail store on Black Friday. The store wants to know better the customer purchase behaviour against different products.

This paper introduces the risks associated with the development of Artificial General Intelligence (AGI), gives an overview of the major organizations involved in the study of AGI risk, and examines current actions being taken with respect to AGI risk management. It then discusses possible AGI public policy options and their likely outcomes, and finally recommends a set of policies designed to decrease the risk presented by AGI.

Standardizing Vietnamese address

Hadoop versus Spark

UNIDADII

laboratorio 2 de calculo vectorial ESCUELA COLOMBIANA DE INGENIERIA JULIO GARAVITO

Its about a tutorial on Stack - a very popular data structure ...

How is it possible to meet the government's 2035-goals whilst continuously supplying district heating in Denmark at low costs and at a high security of supply? This semester project analyses the possibilities of replacing the in-renewable heat production from the coal-fired CHP production unit FV07 at Fynsværket, with large industrial heat pumps. When using heat pumps as the only supply unit, regulatory energy is required to maintain the security of supply. This project analyses the possibilities of using a heat storage facility to supply the district heating in times where the electricity price is _ high. To analyse the scenario, a MATLAB model is set up, minimising the hourly production costs and determining the minimum heat pump capacity and storage capacity needed to meet the demand in Fjernvarme Fyn's supply area. Legislative and financial aspects of shutting down CHP plants and integrating heat pumps are considered. As the district heating production becomes reliant on the electricity production, the overall consumer costs in a heat pump based network will fluctuate with respect to the Nordpool spot price. This could set the foundation for making the district heating sector hourly charged, allocating the demand and lowering the price. Furthermore, the model concludes that the overall costs in the heat pump scenario becomes significantly lower than in the current network, as the fuel costs, including the CO2-quotas, are eliminated.