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The share of distributed energy generation is growing at a rapid pace. The dropping cost of photovoltaic panels and Governments' incentives are making more and more convenient the installation of photovoltaic panels for privates all around the world. In this thesis, data from 18 houses in the Netherlands is collected and analyzed to verify the effect of a large concentration of photovoltaic energy generation on the distribution grid. The study reveals that during Spring and Summer problems for the grid may arise due to the large amount of current injected into the grid. Distributed storage, through the installation of batteries, and load shifting are simulated to test their effectiveness in the reduction of the over-injection problem. The results of the physical model are then studied from the economic perspective to verify which option is the most profitable. Finally, different machine learning algorithms are implemented to predict the load consumption and photovoltaic energy generation one-day ahead.

The share of distributed energy generation is growing at a rapid pace. The dropping cost of photovoltaic panels and Governments' incentives are making more and more convenient the installation of photovoltaic panels for privates all around the world. In this thesis, data from 18 houses in the Netherlands is collected and analyzed to verify the effect of a large concentration of photovoltaic energy generation on the distribution grid. The study reveals that during Spring and Summer problems for the grid may arise due to the large amount of current injected into the grid. Distributed storage, through the installation of batteries, and load shifting are simulated to test their effectiveness in the reduction of the over-injection problem. The results of the physical model are then studied from the economic perspective to verify which option is the most profitable. Finally, different machine learning algorithms are implemented to predict the load consumption and photovoltaic energy generation one-day ahead.

Introduction -- Knowledge Transfer and Exchange in Healthcare: A Literature Review -- Adopting Mixed Methods in Health Research: A Methodological Approach to analyze HTA Development -- Knowledge, Experience and Perceptions of HTA: A Quantitative Analysis -- Outcomes for Implementation Research: A Qualitative Application in the context of HTA -- Using the Ottawa Model of Research Use to discuss HTA Development -- Conclusions.

This open access bookA Cultural History of Chemistry in Antiquity covers the period from 3000 BCE to 600 CE, ranging across the civilizations of the Mediterranean and Near East. Over this long period, chemical artisans, recipes, and ideas were exchanged between Mesopotamia, Egypt, Phoenicia, Greece, Rome, and Byzantium. The flowering of alchemy in the Middle and Early Modern Ages had its roots in the chemical arts of antiquity. This study presents the first synthesis of this epoch, examining the centrality of intense exchange and interconnectivity to the discovery and development of sources, techniques, materials, and instruments. The 6 volume set of the Cultural History of Chemistry presents the first comprehensive history from the Bronze Age to today, covering all forms and aspects of chemistry and its ever-changing social context. The themes covered in each volume are theory and concepts; practice and experiment; laboratories and technology; culture and science; society and environment; trade and industry; learning and institutions; art and representation. Marco Beretta is Professor of History of Science at the University of Bologna, Italy. Volume 1 in the Cultural History of Chemistry set. General Editors: Peter J. T. Morris, University College London, UK, and Alan Rocke, Case Western Reserve University, USA. The open access edition of this book is available under a CC BY-NC-ND 4.0 license on www.bloomsburycollections.com. Open access was funded by the European Research Council.