£108.18

CRC Press Data Science for Wind Energy

Name: Data Science for Wind Energy
Brand: CRC Press
Price: 91.95 GBP
Availability: InStock

Business, Finance & Law

Price History & Forecast

Last 46 days • 46 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 46 days • 2 price levels

Days at Price

Current Price

Price Analysis

Most common price: £92 (33 days, 71.7%)

Price range: £92 - £108

Price levels: 2 different prices over 46 days

Description

Data Science for Wind Energy provides an in-depth discussion on how data science methods can improve decision making for wind energy applications, near-ground wind field analysis and forecast, turbine power curve fitting and performance analysis, turbine reliability assessment, and maintenance optimization for wind turbines and wind farms. A broad set of data science methods covered, including time series models, spatio-temporal analysis, kernel regression, decision trees, kNN, splines, Bayesian inference, and importance sampling. More importantly, the data science methods are described in the context of wind energy applications, with specific wind energy examples and case studies. Please also visit the author’s book site at https://aml.engr.tamu.edu/book-dswe. Features Provides an integral treatment of data science methods and wind energy applications Includes specific demonstration of particular data science methods and their use in the context of addressing wind energy needs Presents real data, case studies and computer codes from wind energy research and industrial practice Covers material based on the author's ten plus years of academic research and insights

Product Specifications

Brand: CRC Press
Format: Hardcover
ASIN: 1138590525
Category: Books > Subjects > Business, Finance & Law
Domain: Amazon UK
Release Date: 24 May 2019
Listed Since: 30 January 2019

Barcode

No barcode data available

CRC Press Data Science for Wind Energy

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Data Science for Wind Energy

Wind Energy: Renewable Energy and the Environment

Wind Turbine Technology

Intelligent Data-Driven Modelling and Optimization in Power and Energy Applications (Intelligent Data-Driven Systems and Artificial Intelligence)

Wind Turbine Technology

Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction: 1 (Wind Energy Engineering)

Springer - Wind Power Systems: Computational Intelligence Book

Fault Diagnosis and Sustainable Control of Wind Turbines: Robust Data-Driven and Model-Based Strategies

Handbook of Wind Resource Assessment

Wind Energy: An Introduction

Computational Intelligent Data Analysis for Sustainable Development (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)

Computational Intelligent Data Analysis for Sustainable Development (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)

Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving (Chapman & Hall/CRC The R Series)

Wind Energy Engineering: A Handbook for Onshore and Offshore Wind Turbines

Understanding Wind Power Technology: Theory, Deployment and Optimisation

CRC Press Wind Energy Systems: Control Engineering Design

Springer - Wind Turbine Aerodynamic Performance Calculation

Control and Operation of Grid-Connected Wind Farms: Major Issues, Contemporary Solutions, and Open Challenges (Advances in Industrial Control)

Wind Turbines and Aerodynamics Energy Harvesters

Data Science and Machine Learning: Mathematical and Statistical Methods (Chapman & Hall/CRC Machine Learning & Pattern Recognition)

Time Series for Data Science: Analysis and Forecasting (Chapman & Hall/CRC Texts in Statistical Science)

Wind Energy Engineering: A Handbook for Onshore and Offshore Wind Turbines

Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving (Chapman & Hall/CRC: The R Series)

Wind and Solar Power Systems: Design, Analysis, and Operation