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Development and Assessment of a Hierarchical Control Strategy for Electric-Thermal Systems in Household Energy Supply
Future energy infrastructure requires efficient and flexible residential energy systems. Model predictive control (MPC) enables optimized behavior by considering energy predictions. This study focuses on minimizing cost and uncertainties using MPC in electric- thermal systems. In addition a hierarchical control approach is proposed and evaluated through simulation in a new software framework called OptFlex and a laboratory experiment. The control system combines electricity and heat components for flexible and efficient energy production and consumption. It enables cost-effective and CO2 minimal utilization and a simple solution of accounting for the differences between forecasted and measured values of the energy components. The MPC is validated in a laboratory test for a PV-CHP system. Results show reliable control with a deviation of approximately 12%. The study also investigates a variable combined control variant to save computation time but incurs higher operating costs. The developed hierarchical control system effectively flexibilities, addresses uncertainties and can be applied to different energy systems including heat pumps.
Machine Learning and Deep Learning Techniques for Medical Science
The application of machine learning is growing exponentially into every branch of business and science, including medical science. This book presents the integration of machine learning (ML) and deep learning (DL) algorithms that can be applied in the healthcare sector to reduce the time required by doctors, radiologists, and other medical professionals for analyzing, predicting, and diagnosing the conditions with accurate results. The book offers important key aspects in the development and implementation of ML and DL approaches toward developing prediction tools and models and improving medical diagnosis. The contributors explore the recent trends, innovations, challenges, and solutions, a...
Light Metals 2019
The Light Metals symposia at the TMS Annual Meeting & Exhibition present the most recent developments, discoveries, and practices in primary aluminum science and technology. The annual Light Metals volume has become the definitive reference in the field of aluminum production and related light metal technologies. The 2019 collection includes papers from the following symposia: 1. Alumina and Bauxite 2. Aluminum Alloys, Processing, and Characterization 3. Aluminum Reduction Technology 4. Cast Shop Technology 5. Cast Shop Technology: Energy Joint Session 6. DGM-TMS Symposium on Lightweight Metals 7. Electrode Technology for Aluminum Production 8. REWAS 2019: Cast Shop Recycling Technologies 9. Scandium Extraction and Use in Aluminum Alloys 10. Ultrasonic Processing of Liquid and Solidifying Alloys
Advances in Manufacturing Technology XXXIII
The development and management of technologies and operations are key to the success of all types of manufacturing business. This book presents the proceedings of the 17th International Conference on Manufacturing Research (ICMR 2019), held in Belfast, UK, on 10 – 12 September 2019. ICMR has been the UK’s main manufacturing research conference for 34 years and an international conference since 2003. It brings together researchers, academics and industrialists to share their vision, knowledge and experience and discuss emerging trends and new challenges in manufacturing research. The conference theme of ICMR2019 was smart manufacturing, and the book includes the 82 papers presented at the...
The Ethics of Artificial Intelligence
The Ethics of Artificial Intelligence has two goals. The first goal is meta-theoretical and is fulfilled by Part One, which comprises the first three chapters: an interpretation of the past (Chapter 1), the present (Chapter 2), and the future of AI (Chapter 3). Part One develops the thesis that AI is an unprecedented divorce between agency and intelligence. On this basis, Part Two investigates the consequences of such a divorce, developing the thesis that AI as a new form of agency can be harnessed ethically and unethically. It begins (Chapter 4) by offering a unified perspective on the many principles that have been proposed to frame the ethics of AI. This leads to a discussion (Chapter 5) ...
AACR 2022 Proceedings: Part A Online-Only and April 10
The AACR Annual Meeting is the focal point of the cancer research community, where scientists, clinicians, other health care professionals, survivors, patients, and advocates gather to share the latest advances in cancer science and medicine. From population science and prevention; to cancer biology, translational, and clinical studies; to survivorship and advocacy; the AACR Annual Meeting highlights the work of the best minds in cancer research from institutions all over the world.
Chinese Global Infrastructure
Infrastructure is at the heart of China's presence in global development and is also central to larger debates about Chinese influence. This Element provides a comprehensive account of major, Chinese government-financed infrastructure projects in the Global South since 1949. Using new datasets, it demonstrates that Chinese global infrastructure is distinct in terms of its historical tenacity and massive contemporary scope. But this does not imply that contemporary Chinese global infrastructure or the Belt and Road Initiative should be studied in a vacuum. Historical and comparative perspectives show that contemporary projects often emerge based on similar political logics to those that shaped infrastructure investment in earlier periods of Chinese history and other international contexts. The Element then examines how infrastructure projects have created both purposeful and unintended sources of influence by serving as valuable but risky political capital for host country governments as well as the Chinese government.
