Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Microsoft Excel (Computer file) --- Microsoft Excel for the Macintosh --- Microsoft Excel for Windows --- Excel (Computer file) --- Excel for Windows --- Microsoft Excel for Windows 95 --- Excel 97 --- Microsoft Excel 97 for Windows --- Excel 2000 --- Excel 2000 for Windows 95 --- Microsoft Excel 2002 --- Microsoft Office Excel 2003 --- Excel 2003 --- Microsoft Excel 2007 --- Excel 2007 --- Excel 2010 --- Microsoft Excel 2013 --- Excel 2013 --- Microsoft Excel 2016 --- Excel 2016

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Machine Learning Crash Course for Engineers is a reader-friendly introductory guide to machine learning algorithms and techniques for students, engineers, and other busy technical professionals. The book focuses on the application aspects of machine learning, progressing from the basics to advanced topics systematically from theory to applications and worked-out Python programming examples. It offers highly illustrated, step-by-step demonstrations that allow readers to implement machine learning models to solve real-world problems. This powerful tutorial is an excellent resource for those who need to acquire a solid foundational understanding of machine learning quickly. A concise guide to the basics of algorithms, building models, and performance evaluation; Offers highly illustrated, step-by-step guidelines with Python programming examples; Provides examples and exercises related to signal and image processing, energy systems, and robotics.

Machine learning. --- Computational intelligence. --- Electrical engineering. --- Signal processing. --- Electric power production. --- Machine Learning. --- Computational Intelligence. --- Electrical and Electronic Engineering. --- Signal, Speech and Image Processing . --- Electrical Power Engineering. --- Signal, Speech and Image Processing.

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

The Sun, Energy, and Climate Change conveys one central idea – that we can utilize energy without continuing to harm the planet by increasing our reliance on energy from the sun. This accessible guide stresses the sun’s importance as our ultimate energy source by focusing on climate change from an energy perspective and explains the naturally balanced energy transfer from the sun to the earth and society’s consumption of this energy. This book is for anyone worried about environmental damage from our reliance on fossil fuels and the global fight against climate change. The key message being we do not have to accept the inevitable and can work to prevent the worst. Written for anyone who cares about climate change; Offers small steps we can take to fight environmental problems related to energy production and consumption; The book provides a concise introduction to energy systems and renewables.

Renewable energy sources. --- Solar energy. --- Energy policy. --- Sustainability. --- Energy and state. --- Climatology. --- Renewable Energy. --- Solar Thermal Energy. --- Energy System Transformation. --- Energy Policy, Economics and Management. --- Climate Sciences. --- Climate --- Climate science --- Climate sciences --- Science of climate --- Atmospheric science --- Energy and state --- Power resources --- State and energy --- Industrial policy --- Energy conservation --- Sustainability science --- Human ecology --- Social ecology --- Solar power --- Force and energy --- Renewable energy sources --- Solar radiation --- Alternate energy sources --- Alternative energy sources --- Energy sources, Renewable --- Sustainable energy sources --- Renewable natural resources --- Agriculture and energy --- Government policy --- Solar energy --- Climate change mitigation. --- Data processing. --- Climate mitigation --- Climatic changes --- Climatic mitigation --- Mitigation of climate change --- Environmental protection --- Mitigation

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

MATLAB and Simulink Crash Course for Engineers is a reader-friendly introductory guide to the features, functions, and applications of MATLAB and Simulink. The book provides readers with real-world examples, exercises, and applications, and offers highly illustrated, step-by-step demonstrations of techniques for the modelling and simulation of complex systems. MATLAB coverage includes vectors and matrices, programs and functions, complex numbers, visualization, solving equations, numerical methods, optimization problems, and graphical user interfaces. The Simulink coverage includes commonly used Simulink blocks, control system simulation, electrical circuit analysis, electric power systems, power electronics, and renewable energy technology. This powerful tutorial is a great resource for students, engineers, and other busy technical professionals who need to quickly acquire a solid understanding of MATLAB and Simulink.

Mathematical control systems --- Mathematics --- Materials sciences --- Applied physical engineering --- Engineering sciences. Technology --- Planning (firm) --- Production management --- Computer architecture. Operating systems --- Computer. Automation --- ICT (informatie- en communicatietechnieken) --- DFMA (design for manufacture and assembly) --- bedrijfssoftware --- economie --- informatica --- mathematische modellen --- wiskunde --- ingenieurswetenschappen --- Computer-aided engineering. --- Engineering mathematics.

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This book is a concise reader-friendly introductory guide to understanding renewable energy technologies. By using simplified classroom-tested methods developed while teaching the subject to engineering students, the authors explain in simple language an otherwise complex subject in terms that enable readers to gain a rapid understanding of renewable energy, including basic principles, the different types, energy storage, grid integration, and economies. This powerful tutorial is a great resource for engineers, technicians, analysts, investors, and other busy professionals who need to quickly acquire a solid understanding of the science of renewable energy technology. Concise guide to all you need to know about the technology behind renewable energy Offers case studies and a comparative analysis of different types of renewables available Provides an alternative to overly detailed textbooks on the subject.

Electromagnetism. Ferromagnetism --- Relation between energy and economics --- Electrical engineering --- Applied physical engineering --- energie-economie --- elektrische netwerken --- hernieuwbare energie --- energie (technologie) --- elektriciteit --- elektriciteitsdistributie --- Renewable energy sources. --- Energy storage.