scholarly journals Model-based Workflows for Optimal Long-term Reservoir Mangement

2014 ◽  
Author(s):  
O. Leeuwenburgh ◽  
P. Egberts ◽  
A. Chitu ◽  
F. Wilschut
Keyword(s):  
Model Based

scholarly journals A Combined Approach for Model-Based PV Power Plant Failure Detection and Diagnostic

Energies ◽  
2021 ◽  
Vol 14 (5) ◽  
pp. 1261
Author(s):  
Christopher Gradwohl ◽  
Vesna Dimitrievska ◽  
Federico Pittino ◽  
Wolfgang Muehleisen ◽  
András Montvay ◽  
...  
Keyword(s):  
Power Plants ◽  
Large Scale ◽  
Failure Detection ◽  
Energy Yield ◽  
Combined Approach ◽  
Levelized Cost Of Electricity ◽  
Term Operation ◽  
Model Based

Photovoltaic (PV) technology allows large-scale investments in a renewable power-generating system at a competitive levelized cost of electricity (LCOE) and with a low environmental impact. Large-scale PV installations operate in a highly competitive market environment where even small performance losses have a high impact on profit margins. Therefore, operation at maximum performance is the key for long-term profitability. This can be achieved by advanced performance monitoring and instant or gradual failure detection methodologies. We present in this paper a combined approach on model-based fault detection by means of physical and statistical models and failure diagnosis based on physics of failure. Both approaches contribute to optimized PV plant operation and maintenance based on typically available supervisory control and data acquisition (SCADA) data. The failure detection and diagnosis capabilities were demonstrated in a case study based on six years of SCADA data from a PV plant in Slovenia. In this case study, underperforming values of the inverters of the PV plant were reliably detected and possible root causes were identified. Our work has led us to conclude that the combined approach can contribute to an efficient and long-term operation of photovoltaic power plants with a maximum energy yield and can be applied to the monitoring of photovoltaic plants.

scholarly journals Evaluating long-term model-based scenarios of the energy system

2020 ◽  
Vol 32 ◽  
pp. 100551
Author(s):  
Matthew Binsted ◽  
Gokul Iyer ◽  
Ryna Cui ◽  
Zarrar Khan ◽  
Kalyn Dorheim ◽  
...  
Keyword(s):  
Energy System ◽  
Model Based ◽  
Term Model

scholarly journals Short‐Term Efficacy Reliably Predicts Long‐Term Clinical Benefit in Rheumatoid Arthritis Clinical Trials as Demonstrated by Model‐Based Meta‐Analysis

2015 ◽  
Vol 56 (7) ◽  
pp. 835-844 ◽  
Author(s):  
Yehong Wang ◽  
Rui Zhu ◽  
Jim Xiao ◽  
John C. Davis ◽  
Jaap W. Mandema ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Clinical Trials ◽  
Clinical Benefit ◽  
Meta Analysis ◽  
Short Term ◽  
Model Based ◽  
Term Efficacy

scholarly journals MANAGEMENT SPECIALISTS IN THE KNOWLEDGE BASED SOCIETY: LIFE‐LONG LEARNING ORIENTED HUMAN RESOURSE DEVELOPMENT

2005 ◽  
Vol 6 (3) ◽  
pp. 155-170 ◽  
Author(s):  
Borisas Melnikas
Keyword(s):  
Public Management ◽  
Knowledge Society ◽  
Development Model ◽  
Professional Activity ◽  
The European Union ◽  
Model Based ◽  
Life Long Learning ◽  
University Studies ◽  
Depth Analysis

The publication presents an analysis of management specialist development problems arising in today's situation. Special attention is paid to management specialist development in the conditions of globalization, knowledge society development, European integration and the European Union enlargement. The publication provides an in‐depth analysis of management specialists development principles and practical experiences in the area of management specialist development. The absence of well‐founded general principles of management specialist development as well as specialprinciples of business and public management specialist development remains an important research problem.The absence of integrated and individualized university studies and of the practical realization of the life‐long learning principle in the area of management specialist development remains an important practical problem. The aim of the publication ‐ to formulate and ground the main principles of management specialist development as well as to describe an original management specialist development model based on the implementation of the idea of life ‐long learning. The research methodology is based on the concept of triangulation, combining the descriptive analysis, surveys and expert evaluation. The scientific novelty, theoretical and practical results are defined by the following:The following groups of principles are singled out: a) general development principles, applicable to specialists of all fields, including that of management; b) special principles of management specialist development, applicable exceptionally to management specialist development; c) specific principles of business management specialist development; d) specific principles of public management specialist development, applicable exceptionally to the development of specialists working in the public sector and public management. This model provides for combination of diverse forms of learning, university studies, independent researches, self‐development and in‐service training; long‐term individual programmers are designed to help people acquire different qualifications and develop their competences through studies in universities and other educational institutions and through participating in practical works, workshops and seminars. Introduction of long‐term individualized development programmers facilitates development of unique managerial skills and prepares every specialist for a unique position, a unique professional activity and individualized functions. The management specialist development model based on the implementation of the idea of life ‐ long learning as well as integrated and individualized university and non ‐ university studies is described. An important element of management specialist development process is development of human creativity. It also depicts specific characteristics of creativity and highlights new opportunities and possibilities for the development of the creative potential.

A Movie E-Shop Recommendation Model Based on Web Usage and Ontological Data

2011 ◽  
pp. 51-68
Author(s):  
Andreas Aresti ◽  
Penelope Markellou ◽  
Ioanna Mousourouli ◽  
Spiros Sirmakessis ◽  
Athanasios Tsakalidis
Keyword(s):  
Artificial Intelligence ◽  
User Modeling ◽  
Web Mining ◽  
Recommendation System ◽  
Recommendation Systems ◽  
Model Based ◽  
Web Usage ◽  
One To One ◽  
Online Shops

Recommendation systems are special personalization tools that help users to find interesting information and services in complex online shops. Even though today’s e-commerce environments have drastically evolved and now incorporate techniques from other domains and application areas such as Web mining, semantics, artificial intelligence, user modeling, and profiling setting up a successful recommendation system is not a trivial or straightforward task. This chapter argues that by monitoring, analyzing, and understanding the behavior of customers, their demographics, opinions, preferences, and history, as well as taking into consideration the specific e-shop ontology and by applying Web mining techniques, the effectiveness of produced recommendations can be significantly improved. In this way, the e-shop may upgrade users’ interaction, increase its usability, convert users to buyers, retain current customers, and establish long-term and loyal one-to-one relationships.

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