Choose an application

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

Aerospace structural design, especially for large aircraft, is an empirical pursuit dominated by rules of thumb and often-painful service experiences. Expertise on traditional materials is not transferable to "new? materials, processes and structural concepts. This is because it is not based on or derived from well-defined measures of safety. This book addresses the need for safe innovation based on practical, explicit structural safety constraints for use in innovative structures of the future where guiding service experience is non-existent. The book covers new ground by the demonst

Airframes. --- Airframes - Design and construction. --- Airframes - Materials. --- Airframes--Materials.Composite materials.Airframes--Design and construction. --- Composite materials. --- Mechanical Engineering --- Chemical & Materials Engineering --- Engineering & Applied Sciences --- Aeronautics Engineering & Astronautics --- Materials Science --- Airframes --- Materials. --- Design and construction. --- Composites (Materials) --- Multiphase materials --- Reinforced solids --- Solids, Reinforced --- Two phase materials --- Materials --- Air frames --- Aircraft stress analysis --- Aircraft structures --- Airplanes --- Structural frames --- Stresses --- Structures

Choose an application

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

Art, Cypriote --- Art --- -Art, Occidental --- Art, Visual --- Art, Western (Western countries) --- Arts, Fine --- Arts, Visual --- Fine arts --- Iconography --- Occidental art --- Visual arts --- Western art (Western countries) --- Arts --- Aesthetics --- Cypriot art --- British Museum --- Daiei Hakubutsukan --- Matḥaf al-Barīṭānī --- Museo Británico --- Britské muzeum v Londýně --- Briṭish Muzeʼon --- Ta Ying po wu kuan --- Da Ying bo wu guan --- Museum Britannicum --- Great Britain. --- בריטיש מוזיאום --- מוזיאון הבריטי --- 大英博物館 --- British Library --- -British Museum --- -Art, Cypriote --- Art, Occidental --- Art, Cypriot --- British Museum. --- Art, Primitive

Choose an application

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

Surinam --- bacteria --- ecosystems

Choose an application

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

PHY Physiology & Biochemistry

Choose an application

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

Over the years, the electric power industry has been using optimization methods to help them solve the unit commitment problem. The result has been savings of tens and perhaps hundreds of millions of dollars in fuel costs. Things are changing, however. Optimization technology is improving, and the industry is undergoing radical restructuring. Consequently, the role of commitment models is changing, and the value of the improved solutions that better algorithms might yield is increasing. The dual purpose of this book is to explore the technology and needs of the next generation of computer models for aiding unit commitment decisions. Because of the unit commitment problem's size and complexity and because of the large economic benefits that could result from its improved solution, considerable attention has been devoted to algorithm development in the book. More systematic procedures based on a variety of widely researched algorithms have been proposed and tested. These techniques have included dynamic programming, branch-and-bound mixed integer programming (MIP), linear and network programming approaches, and Benders decomposition methods, among others. Recently, metaheuristic methods have been tested, such as genetic programming and simulated annealing, along with expert systems and neural networks. Because electric markets are changing rapidly, how UC models are solved and what purposes they serve need reconsideration. Hence, the book brings together people who understand the problem and people who know what improvements in algorithms are really possible. The two-fold result in The Next Generation of Electric Power Unit Commitment Models is an assessment of industry needs and new formulations and computational approaches that promise to make unit commitment models more responsive to those needs.

Electric power consumption --- Electric power production --- Electric power --- Forecasting --- Mathematical models --- Decision making --- Purchasing --- EPUB-LIV-FT SPRINGER-B --- Economics. --- Environmental management. --- Environmental economics. --- Environmental protection. --- Operations research. --- Economics, general. --- Environmental Management. --- Energy Policy, Economics and Management. --- Environmental Economics. --- Atmospheric Protection/Air Quality Control/Air Pollution. --- Operations Research/Decision Theory. --- Mathematical models. --- Management science. --- Energy policy. --- Energy and state. --- Air pollution. --- Decision making. --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management --- Management decisions --- Choice (Psychology) --- Problem solving --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Air --- Air contaminants --- Air pollutants --- Air pollution --- Air pollution control --- Air toxics --- Airborne pollutants --- Atmosphere --- Contaminants, Air --- Control of air pollution --- Pollutants, Air --- Toxics, Air --- Pollution --- Air quality --- Atmospheric deposition --- Economics --- Environmental quality --- Energy and state --- Power resources --- State and energy --- Industrial policy --- Energy conservation --- Environmental stewardship --- Stewardship, Environmental --- Environmental sciences --- Quantitative business analysis --- Operations research --- Statistical decision --- Economic theory --- Political economy --- Social sciences --- Economic man --- Control --- Environmental aspects --- Economic aspects --- Government policy --- Consumption of electric power --- Electricity --- Electric utilities --- Energy consumption --- Demand-side management (Electric utilities) --- Electric power generation --- Electricity generation --- Power production, Electric --- Electric power systems --- Electrification --- Electric power supply --- Power supply, Electric --- Consumption --- Electric power consumption - Forecasting - Mathematical models - Congresses --- Electric power production - Decision making - Mathematical models - Congresses --- Electric power - Purchasing - Decision making - Mathematical models - Congresses