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Enhancing Cooperation Between Business Communities of Serbia and Kosovo Report and Recommendations
1 2020 FORUM ZA ETNIČKE ODNOSE FORUM FOR ETHNIC RELATIONS ENHANCING COOPERATION BETWEEN BUSINESS COMMUNITIES OF SERBIA AND KOSOVO REPORT AND RECOMMENDATIONS ENHANCING COOPERATION BETWEEN BUSINESS COMMUNITIES OF SERBIA AND KOSOVO REPORT AND RECOMMENDATIONS PROJECT: BRINGING THE EU-FACILITATED DIALOGUE CLOSER TO THE BUSINESS SECTORS IN SERBIA AND KOSOVO Belgrade – Prishtina, October 2020 ENHANCING COOPERATION BETWEEN BUSINESS COMMUNITIES OF SERBIA AND KOSOVO REPORT AND RECOMMENDATIONS Belgrade – Prishtina, October 2020 Kraljice Natalije 45/VII 11000 Belgrade, Serbia +381 11 36 20 781 [email protected] • www.fer.org.rs FORUM CIP - Каталогизација у публикацији Year 10, Issue nr. 1 Народна библиотека Србије, Београд Publisher 323.1 Forum za etničke odnose, Beograd Editor in chief FORUM : the magazine of FER / editor in Dušan Janjić, PhD chief Nenad Đurđević. - Year 1, iss. 1 Editor (2002)-year 2, iss. 4 (2003) ; 2013, no. 1- Nenad Đurđević . - Belgrade : Forum for Ethnic Relations, Translation 2002-2003; 2013- (Belgrade : Dosije studio). Vijuga - 30 cm Proofreading Povremeno. - Ima izdanje na drugom jeziku: Paul Murray Forum (Forum za etničke odnose) = ISSN Prepress 2335-0490 Atelje, Beograd ISSN 1451-6357 = Forum - Forum for Ethnic Printing Relations Dosije studio, Beograd COBISS.SR-ID 25690639 Published periodically Contents Acronyms and abbreviations ............................................................5 Introduction .....................................................................................7 PART I The context and challenges -
History and Trends in Solar Irradiance and PV Power Forecasting: a Preliminary Assessment and Review Using Text Mining
History and trends in solar irradiance and PV power forecasting: A preliminary assessment and review using text mining Dazhi Yanga,∗, Jan Kleisslb, Christian A. Gueymardc, Hugo T. C. Pedrob, Carlos F. M. Coimbrab aSingapore Institute of Manufacturing Technology, Agency for Science, Technology and Research (A∗STAR), Singapore bCenter for Renewable Resources and Integration, Center for Energy Research Department of Mechanical and Aerospace Engineering, University of California, San Diego, CA, USA cSolar Consulting Services, Colebrook, NH, USA Abstract Text mining is an emerging topic that advances the review of academic literature. This paper presents a preliminary study on how to review solar irradiance and photovoltaic (PV) power forecasting (both topics combined as “solar forecasting” for short) using text mining, which serves as the first part of a forthcoming series of text mining applications in solar forecasting. This study contains three main contributions: (1) establishing the technological infrastructure (authors, journals & conferences, publications, and orga- nizations) of solar forecasting via the top 1000 papers returned by a Google Scholar search; (2) consolidating the frequently-used abbreviations in solar forecasting by mining the full texts of 249 ScienceDirect publications; and (3) identifying key innovations in recent advances in solar forecasting (e.g., shadow camera, forecast reconciliation). As most of the steps involved in the above analysis are automated via an application programming interface, the presented method can be transferred to other solar engineer- ing topics, or any other scientific domain, by means of changing the search word. The authors acknowledge that text mining, at its present stage, serves as a complement to, but not a replacement of, conventional review papers. -
December 2018 Contents
REPUBLIC OF SERBIA GOVERNMENT OFFICE FOR KOSOVO AND METOHIJA AND OFFICE FOR THE COORDINATION OF AFFAIRS IN THE PROCESS OF NEGOTIATION WITH THE PROVISIONAL INSTITUTIONS OF SELF-GOVERNMENT IN PRIŠTINA PROGRESS REPORT ON THE DIALOGUE BETWEEN BELGRADE AND PRIŠTINA (Covering the period from May 1 to December 15, 2018) December 2018 Contents: Introduction ................................................................................................................................ 1 A) Social and political situation in Kosovo and Metohija ......................................................... 3 B) Security situation in Kosovo and Metohija ........................................................................... 5 C) Obligations stemming from the First Agreement ................................................................ 10 1. Community of Serbian Municipalities ..................................................................... 10 2. Police ....................................................................................................................... 11 3. Judiciary .................................................................................................................... 12 4. Energy ....................................................................................................................... 13 5. Telecommunications ................................................................................................. 15 6. European integrations ............................................................................................. -
World Bank Document
July 2019 Public Disclosure Authorized Public Disclosure Authorized Public Disclosure Authorized Public Disclosure Authorized © 2019 International Bank for Reconstruction and Development / The World Bank 1818 H Street NW Washington DC 20433 Telephone: 202-473-1000 Internet: www.worldbank.org This work is a product of the staff of The World Bank with external contributions. The findings, interpretations, and conclusions expressed in this work do not necessarily reflect the views of The World Bank, its Board of Executive Directors, or the governments they represent. The World Bank does not guarantee the accuracy of the data included in this work. The boundaries, colors, denominations, and other information shown on any map in this work do not imply any judgment on the part of The World Bank concerning the legal status of any territory or the endorsement or acceptance of such boundaries. Rights and Permissions The material in this work is subject to copyright. Because The World Bank encourages dissemination of its knowledge, this work may be reproduced, in whole or in part, for noncommercial purposes as long as full attribution to this work is given. Any queries on rights and licenses, including subsidiary rights, should be addressed to World Bank Publications, The World Bank Group, 1818 H Street NW, Washington, DC 20433, USA; fax: 202-522-2625; e-mail: [email protected]. Furthermore, the ESMAP Program Manager would appreciate receiving a copy of the publication that uses this publication for its source sent in care of the address above or to [email protected]. Cover Image A system in University of British Columbia (UBC) with pyranometer and pyrgeometer for meteorological observations related to solar insolation. -
Probabilistic Solar Power Forecasting: Long Short-Term Memory Network Vs Simpler Approaches
Probabilistic Solar Power Forecasting: Long Short-Term Memory Network vs Simpler Approaches Vinayak Sharmaa,∗, Jorge Angel´ Gonz´alezOrdianob,c, Ralf Mikutb, Umit Calid aUniversity of North Carolina at Charlotte bInstitute for Automation and Applied Informatics, Karlsruhe Institute of Technology cColorado State University dNorwegian University of Science and Technology Abstract The high penetration of volatile renewable energy sources such as solar, make methods for coping with the uncertainty associated with them of paramount importance. Probabilistic forecasts are an example of these methods, as they assist energy planners in their decision-making process by providing them with information about the uncertainty of future power generation. Currently, there is a trend towards the use of deep learning probabilistic forecasting methods. However, the point at which the more complex deep learning methods should be preferred over more simple approaches is not yet clear. Therefore, the current article presents a simple comparison between a long short-term memory neural network and other more simple approaches. The comparison consists of training and comparing models able to provide one-day-ahead probabilistic forecasts for a solar power system. Moreover, the current paper makes use of an open source dataset provided during the Global Energy Forecasting Competition of 2014 (GEFCom14). Keywords: GEFCom14, Neural Networks, Quantile Regressions, LSTM, Probabilistic Forecasting 1. Introduction arXiv:2101.08236v1 [cs.LG] 20 Jan 2021 Over the past couple of years solar power has become one of the most pop- ular renewable energy sources (RES). Unfortunately, the generation of solar power depends completely on the Sun [5]. This dependency on weather adds uncertainty and variability to the generation of solar power. -
Kosovo Political Economy Analysis Final Report
KOSOVO POLITICAL ECONOMY ANALYSIS FINAL REPORT DECEMBER 26, 2017 This publication was produced for review by the United States Agency for International Development. It was prepared by Management Systems International, A Tetra Tech Company. KOSOVO POLITICAL ECONOMY ANALYSIS FINAL REPORT December 26, 2017 IDIQ No. AID-167-I-17-00002 Award No: AID-167-TO-17-00009 Prepared by Management Systems International (MSI), A Tetra Tech Company 200 12th St South, Suite 1200 Arlington, VA, USA 22202 DISCLAIMER This report is made possible by the support of the American people through the United States Agency for International Development (USAID). The contents are the sole responsibility of the Management Systems International and do not necessarily reflect the views of USAID or the United States Government. CONTENTS Acronyms ...................................................................................................................................... ii Executive Summary .................................................................................................................... iii I. Introduction ............................................................................................................................... 6 II. Methodology ............................................................................................................................. 7 A. Foundational Factors ........................................................................................................................................... 7 B. Rules -
Brussels Agreements Implementation State of Play
Republika e Kosovës Republika Kosova-Republic of Kosovo Qeveria-Vlada-Government BRUSSELS AGREEMENTS IMPLEMENTATION STATE OF PLAY 1 October 2014 – 20 March 2015 REPORT SUBMITTED TO THE EUROPEAN UNION /EUROPEAN EXTERNAL ACTION SERVICE BY THE GOVERNMENT OF THE REPUBLIC OF KOSOVA Prishtina, 23 March 2015 FOREWORD As a constructive and serious party of the Brussels Dialogue, the Government of the Republic of Kosovo attaches special importance to the implementation of all Brussels Agreements in last four years. We are periodically evaluating the state of play in the implementation of agreements reached in the Brussels dialogue, in order to highlight progress and challenges of this process and share our views on the way forward for better progress in implementation. We believe that commitment on implementation of agreements by all parties is the only way to ensure reliability with what was agreed and signed in the Brussels political and technical dialogue. I hope that this Report (as previous ones) will help to consider further opportunities and incentives for advancing the overall process of implementation of all agreements reached in the technical and political dialogue. A particular focus is placed to the Brussels Agreement on normalization of relations of 19 April 2013. The Report covers period from 1 October 2014 to 20 March 2015, where different from earlier periods, the implementation process did not make any significant progress. The most important development is the Agreement on Justice Implementation reached on 9-10 February 2015 -
Investment in Kosovo 2017 | 41
Investment in Kosovo 2017 | 41 Investment in Kosovo 2017 KPMG in Kosovo kpmg.com/al © 2017 KPMG Albania Shpk Kosovo Branch, a branch of KPMG Albania Shpk, an Albanian limited liability company and a member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative (“KPMG International”), a Swiss entity. All rights reserved. Investment in Kosovo Edition 2017 Investment in Kosovo 2017 | 3 Preface Investment in Kosovo is one of a series of booklets published by KPMG member firms to provide information to those considering investing or doing business internationally. Every care has been taken to ensure that the information presented in this publication is correct and reflects the situation as of March 2017 unless otherwise stated. Its purpose is to provide general guidelines on investment and business in Kosovo. As the economic situation in the country continues to undergo changes, further advice should be sought before making any specific decisions. For further information on matters discussed in this publication, please contact Heris Jani, Managing Director. KPMG Albania Shpk Kosovo Branch 6 Pashko Vasa Str. 10 000 Pristina Kosovo Tel: +381 38 246 771 Fax: +381 38 246 772 kpmg.com/al © 2017 KPMG Albania Shpk Kosovo Branch, a branch of KPMG Albania Shpk, an Albanian limited liability company and a member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative (“KPMG International”), a Swiss entity. All rights reserved. 4 | Investment in Kosovo 2017 Contents -
Solar Forecasting: Maximizing Its Value for Grid Integration
Solar Forecasting: Maximizing its value for grid integration Introduction The forecasting of power generated by variable energy resources such as wind and solar has been the focus of academic and industrial research and development for as long as significant amounts of these renewable energy resources have been connected to the electric grid. The progress of forecasting capabilities has largely followed the penetration of the respective resources, with wind forecasting having achieved a more mature state-of-the-art compared to its solar equivalent [Lew 2010]. Still in the last 5 years, there has been substantial and material progress in the state-of-the-art of solar forecasting [Kleissl 2016]. Numerical Weather Prediction (NWP) models became more sophisticated in assessing cloud interactions with aerosols; infrared satellite imagery allowed discovery of pre-sunrise cloud formations; advanced data processing methods such as deep machine learning became increasingly accessible; probabilistic forecasts began replacing deterministic ones; and, in balancing areas with high PV penetration, solar forecasts are now used operationally. Bulk grid integration As solar electricity penetration in the distribution grid is increasing, the power generated by those Distributed Energy Resources (DERs) needs to be taken into account in the operations and planning of IPPs, ISOs, and Balancing Authorities [Mills 2013]. Since the reliable performance of the bulk grid depends on the balancing of a continuously varying load with equal amounts of generation, knowledge of the load ahead of time (forecasting) is necessary for the economically optimal – and technically feasible – dispatch of generation sources. Solar electricity generation presents two challenges to the process above. First, a very large fraction of it comes from distributed PV systems (DPV) that are connected behind-the-meter (BTM) and are thus only visible to the system operator as load. -
Solar Energy Potential in Kosovo Pilot Study of Installation with Photovoltaic Modules at the University of Prishtina
EXAMENSARBETE INOM TEKNIK, GRUNDNIVÅ, 15 HP STOCKHOLM, SVERIGE 2020 Solar Energy Potential In Kosovo Pilot study of installation with photovoltaic modules at The University of Prishtina MERGIM JAKUPI MAXWELL MINOTTA CUERVO KTH SKOLAN FÖR ARKITEKTUR OCH SAMHÄLLSBYGGNAD Abstract The Republic of Kosovo, and its 1.8 million inhabitants, is heavily reliant on two highly pollutive lignite coal-fired power plants, Kosova A and Kosova B for energy generation. The coal-fired power plants, that cover 91% of the energy generation, are reaching the end of their operational life and are in need of either restoration or discontinuation. This implies that Kosovo is in need of energy alternatives for a more flexible energy system which could open opportunities for renewable energy. Solar power in Kosovo is still at a low percentage of less than 1%, and its future penetration is being held back by lack of investments and underdeveloped regulatory framework. Affordable and reliable energy, from solar power, could reduce poverty, lower unemployment, boost economic growth and improve people's health in Kosovo. This coincides with the sustainability goals set by the UN Agenda 2030 and specifically goal 7, ‘Ensure access to affordable, reliable, sustainable and modern energy for all’. The aim of the project was to design a techno-economically optimal PV-system at The University of Prishtina and to investigate the potential technical, social and economic impacts of implementing PV-systems in Kosovo to help achieve the UN 2030 Agenda, specifically SDG 7. The project consists of a quantitative part where simulations were done with the System Advisor Model (SAM) in order to calculate the energy generation and profitability of installing photovoltaic modules at The University of Prishtina with different policy-schemes. -
78-Management Response (English)
MANAGEMENT RESPONSE TO REQUEST FOR INSPECTION PANEL REVIEW OF THE KOSOVO POWER PROJECT (PROPOSED) Management has reviewed the Request for Inspection of the Kosovo Power Project (pro- posed), received by the Inspection Panel on March 29, 2012 and registered on April 12, 2012 (RQ12/01). Management has prepared the following response. May 21, 2012 CONTENTS Abbreviations and Acronyms ......................................................................................... iv Executive Summary .......................................................................................................... v I. Introduction .............................................................................................................. 1 II. The Request .............................................................................................................. 1 III. Project Background ................................................................................................. 2 IV. Management’s Response ......................................................................................... 5 Map Map 1. IBRD No. 39302 Boxes Box 1. Emergency Evacuation of an At-Risk Part of Hade Village in 2004/05 Annexes Annex 1. Claims and Responses Annex 2. Selected List of Meetings with Civil Society Organizations Regarding Ko- sovo’s Energy Sector Annex 3 List of Publicly Available Documents Regarding the Proposed Kosovo Power Project Annex 4. Country Partnership Strategy for the Republic of Kosovo FY12-15 Annex 5. Comprehensive Water Sector Assessment Annex -
Wind Generation Forecasting Methods and Proliferation of Artificial Neural
sustainability Review Wind Generation Forecasting Methods and Proliferation of Artificial Neural Network: A Review of Five Years Research Trend Muhammad Shahzad Nazir 1,* , Fahad Alturise 2 , Sami Alshmrany 3, Hafiz. M. J Nazir 4, Muhammad Bilal 5 , Ahmad N. Abdalla 6, P. Sanjeevikumar 7 and Ziad M. Ali 8,9 1 Faculty of Automation, Huaiyin Institute of Technology, Huai’an 223003, China 2 Computer Department, College of Science and Arts in Ar Rass, Qassim University, Ar Rass 51921, Saudi Arabia; [email protected] 3 Faculty of Computer and Information Systems, Islamic University of Madinah, Madinah 42351, Saudi Arabia; [email protected] 4 Institute of Advance Space Research Technology, School of Networking, Guangzhou University, Guangzhou 510006, China; [email protected] 5 School of Life Science and Food Engineering, Huaiyin Institute of Technology, Huai’an 223003, China; [email protected] 6 Faculty of Information and Communication Engineering, Huaiyin Institute of Technology, Huai’an 223003, China; [email protected] 7 Department of Energy Technology, Aalborg University, 6700 Esbjerg, Denmark; [email protected] 8 College of Engineering at Wadi Addawaser, Prince Sattam Bin Abdulaziz University, Wadi Addawaser 11991, Saudi Arabia; [email protected] 9 Electrical Engineering Department, Faculty of Engineering, Aswan University, Aswan 81542, Egypt * Correspondence: [email protected] or [email protected]; Tel.: +86-1322-271-7968 Received: 8 April 2020; Accepted: 23 April 2020; Published: 6 May 2020 Abstract: To sustain a clean environment by reducing fossil fuels-based energies and increasing the integration of renewable-based energy sources, i.e., wind and solar power, have become the national policy for many countries.