1.

Record Nr.

UNINA9910367255103321

Titolo

Advances in Operational Research in the Balkans : XIII Balkan Conference on Operational Research / / edited by Nenad Mladenović, Angelo Sifaleras, Marija Kuzmanović

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020

ISBN

3-030-21990-9

Edizione

[1st ed. 2020.]

Descrizione fisica

1 online resource (xii, 292 pages) : illustrations

Collana

Springer Proceedings in Business and Economics, , 2198-7246

Disciplina

658.4034

Soggetti

Operations research

Decision making

Management science

Big data

Operations Research/Decision Theory

Operations Research, Management Science

Big Data/Analytics

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

Chapter 1. Dichotomy Algorithms in the Multi-Class Problem of Pattern Recognition -- Chapter 2. Determining the Set of the Most Critical System Components - Optimization Approach -- Chapter 3. Metaheuristics and Error Detection Approaches for Multiproduct EOQBased Inventory Control Problem -- Chapter 4. On fuzzy solutions to a class of fuzzy multi-objective linear optimization problems -- Chapter 5. Multiattribute Methods as a Means for Solving Ecological Problems inWater Resources - Lake Pollution -- Chapter 6. Forest Policy Evaluation in European Countries using the Promethee method -- Chapter 7. The Contribution of ICT in EU Development Policy: A Multicriteria Approach -- Chapter 8. A Fuzzy Linear Programming Approach to Solve Bi-Level Multi-Objective Linear Programming Problems -- Chapter 9. Residential Attractiveness of Cities from the Perspective of the Efficiency, Residents’ Perception and Preferences: The Case of Serbia -- Chapter 10. Analyzing the Efficiency of Travel



and Tourism in the European Union -- Chapter 11. Interdomain Quality of Service Negotiation Using DEA Analysis and Petri Nets -- Chapter 12. Quality Losses as the Key Argument in the Public Procurement in Healthcare -- Chapter 13. Enhancing IT Project Management Maturity Assessment -- Chapter 14. E-Payment Systems using Multi-Card Smartcard -- Chapter 15. Detection of Click Spamming in Mobile Advertising -- Chapter 16. Improving decision making in ski resorts by analysing ski lift transportation - A review -- Chapter 17. A Recommender System with IBA Similarity Measure.

Sommario/riassunto

This proceedings volume presents recent theoretical and practical advances in operational research (OR). The papers focus on a number of key areas including combinatorial optimization, integer programming, heuristics, and mathematical programming. In addition, this volume highlights OR applications in different areas such as financial decision making, marketing, e-business, project management, scheduling, traffic and transportation. The chapters are based on papers presented at the 13th Balkan Conference on Operations Research (BALCOR). BALCOR is an established biennial conference. The selected papers promote international collaboration among researchers and practitioners, with a particular focus on the Balkan countries.



2.

Record Nr.

UNINA9910367238003321

Autore

Liu Hui

Titolo

Non-intrusive Load Monitoring : Theory, Technologies and Applications / / by Hui Liu

Pubbl/distr/stampa

Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2020

ISBN

9789811518607

9811518602

Edizione

[1st ed. 2020.]

Descrizione fisica

1 online resource (288 pages)

Disciplina

621.317

Soggetti

Energy policy

Artificial intelligence

Electric power production

Energy Policy, Economics and Management

Artificial Intelligence

Electrical Power Engineering

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

Introduction -- Detection of Transient Events in Time Series -- Appliance Signature Extraction -- Appliance Identification Based on Template Matching -- Steady State Current Decomposition Based Appliance Identification -- Machine Learning Based Appliance Identification -- Hidden Markov Models Based Appliance Identification -- Deep Learning Based Appliance Identification -- Deterministic Prediction of Electric Load Time Series -- Interval Prediction of Electric Load Time Series.

Sommario/riassunto

Focusing on non-intrusive load monitoring techniques in the area of smart grids and smart buildings, this book presents a thorough introduction to related basic principles, while also proposing improvements. As the basis of demand-side energy management, the non-intrusive load monitoring techniques are highly promising in terms of their energy-saving and carbon emission reduction potential. The book is structured clearly and written concisely. It introduces each aspect of these techniques with a number of examples, helping readers to understand and use the corresponding results. It provides latest



strengths on the non-intrusive load monitoring techniques for engineers and managers of relevant departments. It also offers extensive information and a source of inspiration for researchers and students, while outlining future research directions.