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Grid-connected photovoltaic systems are considered an attractive alternative source of energy production due to new developments in technology, increasing environmental pollution and excessive load density on transmission lines. Controlling the energy in a smart way, increasing the efficiency as well as revealing the concept of smart grid. Estimation of energy production, planning of household electrical...
This work explores two different techniques for the prediction of the Italian day-ahead electricity market prices, the zonal prices and the uniform purchase price (Prezzo Unico Nazionale or PUN). The study is conducted over a 2-year long period, with hourly data of the prices to be predicted and a large set of variables used as predictors (i.e. historical prices, forecast load, wind and solar power...
This paper is concerned with the generalized network flow (GNF) problem, which aims to find a minimum-cost solution for a generalized flow network. The objective is to determine the optimal injections at the nodes as well as optimal flows over the lines of the network. In this problem, each line is associated with two flows in opposite directions that are related to each other via a given nonlinear...
In this paper, the trailing suction hopper dredger dredging production is used to be an optimization objective. By analyzing the impacts of dredging operation behaviors and system uptime factors, an artificial neural network algorithm for parameter optimization of dredging operations is proposed. Based on the field construction parameters of the trailing suction hopper dredger, the method integrates...
Modern IT companies are experiencing high employee fluctuations during last years which cause lots of financial costs due to an initial adaptation periods for new employees. Considering mainly fresh graduate employees and employees which don't have enough initial knowledge to perform according various internal rules, causes their disorientation in the company processes and thus slower their professional...
Nowadays, the control of Quality Management System (QMS) has become a major consideration in the businesses. Indeed, it has a large number of imprecise information and performance indicators inputs that must be managed. In this context, this paper proposes two approaches: Hierarchical Fuzzy Signature and Neuro-Fuzzy Hierarchical Hybrid able to control of QMS problem. These approaches has been validated...
Due to the negative environmental impact of using fossil energy sources and depletion of fossil fuels, the alternative energy sources are being searched all over the world. Since wind energy is clean and renewable, the penetration of wind energy for electricity generation is increasing day by day. Wind power plants require continuous and appropriate intensity winds. In terms of the reliability and...
The main body of the literature states that Artificial Neural Networks must be regarded as a "black box" without further interpretation due to the inherent difficulties for analyze the weights and bias terms. Some authors claim that ANN trained as a regression device tend to organize itself by specializing some neurons to learn the main relationships embedded in the training set, while other...
With the deepening of the reform of the electricity market and rapid development of power industry, advancement of economy and power generation is becoming more and more closely related to each other. Balance between supply and demand is always one of the core issues of regional electricity market research. This paper proposes an electricity generation prediction model in power plant combining statistical...
Ethanol is an alternative energy source being used now a daysto replace diesel and petrol. By fermentation of glucose using Saccharomyces yeasts under a controlled environment, ethanol is produced. The temperature, dissolved oxygen (DO) and pH in bioreactor must follow desired profiles to give optimum yield. In this paper the process model for yeast fermentation has been described in terms of temperature,...
In this paper an artificial intelligence based framework for fault detection and diagnosis to support supervision of the cardboard production is presented. Cutting accuracy significantly affects the quality of the product and because there are many different causes of errors, their identification requires a sound knowledge and experience of the service staff. The authors observed that the sources...
In power networks, Energy Storage Systems (ESS) can help to cope with intermittent availability of renewable sources. However, fixed, maintenance, and operating costs are a critical aspect that must be considered in the positioning and sizing of these devices. This paper addresses the problem of placing storage devices in order to achieve an Optimal Power Flow (OPF) in presence of renewable sources...
This work aims to describe the implementation of a renewable energy based Microgrid test site facility at the University of Genova (Italy) and to depict the advanced functionalities there implemented within the national supported project Smartgen. The developed advanced Distribution Management System (DMS) is based on a Supervisory Control And Data Acquisition (SCADA) system for the remote monitoring...
Besides pursuing the economic goals of low costs and high profits, companies are becoming more and more aware of the environmental and social impact of their actions. Companies striving for the integrated optimization of environmental and economic perspectives within their production processes, need to be supported by tools helping to understand the effects of the decision making process. In this...
In this paper the robustness of three model-based control strategies—internal model control (IMC) with linear models, IMC with neural network models, and feedback linearisation control—for the Archimedes Wave Swing (AWS), a device designed to produce electricity from the energy of sea waves, is assessed by checking how their performance, optimised for a neutral tide with a standard atmospheric pressure,...
This paper introduces a study on power system networks which aims to produce a dynamic simulation based security assesment taking into account uncertainties. An extended Optimal Power Flow without any guarantee on feasibility leads to the resolution of a Mixed-Integer NonLinear Problem (MINLP). Solving a (MINLP) is very challenging and even harder when the problem is not convex and could be unfeasible...
This paper presents the application of Surrogate Reservoir Model (SRM) for predicting the Bottom-Hole Flowing Pressure (BHFP) on an initially undersaturated reservoir. SRM is recently introduce technology that is used to replicates the results of numerical simulation model. High computational cost and long processing time limits our ability to perform comprehensive sensitivity analysis and quantify...
A collaborative optimization model is proposed to integrate the energy performance to the optimization of sintering burden. Firstly, the collaborative optimization problem in sintering burden is described, and then the association model between sinter raw material proportion, production parameter and energy consumption, drum index is provided using data-based methods. Furthermore, objective functions...
An Artificial Neural Network (ANN) approach is used to estimate power production yield by a 1 kWp experimental micro-morph silicon modules plant located at ENEA Portici Research Centre, in Italy South region. A large dataset consisting of data, measured every five minutes and acquired from 2006 to 2012, is used for the training/test of the ANN. First, AC power production evaluation is obtained from...
In the Present paper is an attempt to create an Artificial Neural Network model to highlighting and Forecasting the Production and attraction of Daily Passenger Trips. The application of this model we are showing by a case study of all the nine zones of Delhi urban area which includes North West Zone, North Zone, North East Zone, East Zone, South East Zone, Central Zone, West Zone, South West Zone,...
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