It takes the average reader 5 hours and 54 minutes to read Genetic Optimization Techniques for Sizing and Management of Modern Power Systems by Juan Miguel Lujano Rojas
Assuming a reading speed of 250 words per minute. Learn more
Genetic Optimization Techniques for Sizing and Management of Modern Power Systems explores the design and management of energy systems using a genetic algorithm as the primary optimization technique. Coverage ranges across topics related to resource estimation and energy systems simulation. Chapters address the integration of distributed generation, the management of electric vehicle charging, and microgrid dimensioning for resilience enhancement with detailed discussion and solutions using parallel genetic algorithms. The work is suitable for researchers and practitioners working in power systems optimization requiring information for systems planning purposes, seeking knowledge on mathematical models available for simulation and assessment, and relevant applications in energy policy. Presents a range of essential techniques for using genetic algorithms in power system analysis, includingeconomic dispatch, forecasting, and optimal power fl ow, among other topics. Addresses relevant optimization problems, such as neural network training and clustering analysis, usinggenetic algorithms. Discusses clearly and straightforwardly the implementation of genetic algorithms and its combination withother heuristic techniques. Describes the iHOGA® and MHOGA® commercial tools, which utilize genetic algorithms for designingand managing energy systems based on renewable energies.
Genetic Optimization Techniques for Sizing and Management of Modern Power Systems by Juan Miguel Lujano Rojas is 352 pages long, and a total of 88,704 words.
This makes it 119% the length of the average book. It also has 108% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 8 hours and 4 minutes to read Genetic Optimization Techniques for Sizing and Management of Modern Power Systems aloud.
Genetic Optimization Techniques for Sizing and Management of Modern Power Systems is suitable for students ages 12 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
Genetic Optimization Techniques for Sizing and Management of Modern Power Systems by Juan Miguel Lujano Rojas is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.
To buy Genetic Optimization Techniques for Sizing and Management of Modern Power Systems by Juan Miguel Lujano Rojas on Amazon click the button below.
Buy Genetic Optimization Techniques for Sizing and Management of Modern Power Systems on Amazon