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Proceedings of the 2022 3rd International Conference on Big Data and Informatization Education (ICBDIE 2022)
This is an open access book. The 2022 3rd International Conference on Big Data and Informatization Education (ICBDIE2022) was held on April 8-10, 2022 in Beijing, China. ICBDIE2022 is to bring together innovative academics and industrial experts in the field of Big Data and Informatization Education to a common forum. The primary goal of the conference is to promote research and developmental activities in Big Data and Informatization Education and another goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working all around the world. The conference will be held every year to make it an ideal platform for people to share views and experiences in international conference on Big Data and Informatization Education and related areas.
Explainable Machine Learning for Geospatial Data Analysis
Explainable machine learning (XML), a subfield of AI, is focused on making complex AI models understandable to humans. This book highlights and explains the details of machine learning models used in geospatial data analysis. It demonstrates the need for a data-centric, explainable machine learning approach to obtain new insights from geospatial data. It presents the opportunities, challenges, and gaps in the machine and deep learning approaches for geospatial data analysis and how they are applied to solve various environmental problems in land cover changes and in modeling forest canopy height and aboveground biomass density. The author also includes guidelines and code scripts (R, Python)...
Energy Efficiency of Modern Power and Energy Systems
Energy Efficiency and Management of Power and Energy Systems introduces students and researchers to a broad range of power system management challenges, technologies, and solutions. This book begins with an analysis of system technology's current state, the most pressing problems, and the background to challenges in integrating renewable energy sources. Technologies including smart grids, green building, and worker requirements are covered. Subsequent chapters break down potential management solutions, including specific problem-solving for solar, wind, and hybrid systems. Finally, specific case studies from a global geographical range zero in on critical questions facing the present industr...
Swarm Intelligence
Buku Teknik Elektro yang berjudul Swarm Intelligence: Craziness Particle Swarm Optimization untuk Optimasi Sistem Tenaga Listrik merupakan karya dari Prof. Ir. Makmur Saini, M.T., Ph.D., IPU., dkk. Buku ini memberikan contoh penerapan teknik kecerdasan buatan (AI) swarm intelligence berbasis Craziness Particle Swarm Optimization (CRPSO) dalam optimasi sistem tenaga listrik baik untuk sistem skala kecil hingga sistem skala besar. Beberapa contoh penerapan antara lain pada desain power system stabilizer (PSS) pada sistem skala kecil single machince infinite bus (SMIB) dan sistem skala besar pada real system Sulselrabar untuk optimasi peningkatan stabilitas sistem tenaga listrik. Selain permasalahan stabilitas sistem, pada buku ini juga disertai contoh penerapan swarm intelligence untuk optimasi biaya pembangkitan ekonomis (Economic Dispatch) pada sistem skala besar Sulselrabar. Untuk memudahkan pembaca, setiap bab disertai dengan contoh pemodelan sistem dan pemodelan algoritme AI yang digunakan.
