Deep Learning for Power System Applications: Case Studies Linking Artificial Intelligence and Power Systems (Power Electronics and Power Systems) - Image 1

£82.34

Springer Deep Learning for Power System Applications: Case Studies Linking Artificial Intelligence and Power Systems (Power Electronics and Power Systems)

Name: Deep Learning for Power System Applications: Case Studies Linking Artificial Intelligence and Power Systems (Power Electronics and Power Systems)
Brand: Springer
Price: 82.34 GBP
Availability: InStock

E-Commerce

It has never been this cheap. We have no record of a lower price.

£82 today · cheaper than every other day in the last 3 months

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 22 days • 22 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 22 days • 1 price levels

Days at Price

Price Analysis

Most common price: £82 (22 days, 100.0%)

Price range: £82 - £82

Price levels: 1 different prices over 22 days

Description

This book provides readers with an in-depth review of deep learning-based techniques and discusses how they can benefit power system applications. Representative case studies of deep learning techniques in power systems are investigated and discussed, including convolutional neural networks (CNN) for power system security screening and cascading failure assessment, deep neural networks (DNN) for demand response management, and deep reinforcement learning (deep RL) for heating, ventilation, and air conditioning (HVAC) control. Deep Learning for Power System Applications: Case Studies Linking Artificial Intelligence and Power Systems is an ideal resource for professors, students, and industrial and government researchers in power systems, as well as practicing engineers and AI researchers. Provides a history of AI in power grid operation and planning; Introduces deep learning algorithms and applications in power systems; Includes several representative case studies.

Product Specifications

Brand: Springer
Format: hardcover
ASIN: 3031453565
Category: Books > Subjects > Business, Finance & Law > E-Commerce
Domain: Amazon UK
Release Date: 11 November 2023
Listed Since: 30 August 2023

Barcode

No barcode data available

Springer Deep Learning for Power System Applications: Case Studies Linking Artificial Intelligence and Power Systems (Power Electronics and Power Systems)

It has never been this cheap. We have no record of a lower price.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Monitoring and Control of Electrical Power Systems using Machine Learning Techniques

Artificial Intelligence Enabled Computational Methods for Smart Grid Forecast and Dispatch: 14 (Engineering Applications of Computational Methods, 14)

Automatic Learning Techniques in Power Systems (Power Electronics and Power Systems)

Smart Energy and Electric Power Systems: Current Trends and New Intelligent Perspectives

Artificial Intelligence for Renewable Energy Systems (Artificial Intelligence and Soft Computing for Industrial Transformation)

Machine Learning for Energy Systems

Computational Intelligence Applications to Power Systems: 15 (Intelligent Systems, Control and Automation: Science and Engineering, 15)

Artificial Intelligence for Energy Systems: Driving Intelligent, Flexible and Optimal Energy Management: 46 (Learning and Analytics in Intelligent Systems, 46)

Intelligent System Applications in Power Engineering: Evolutionary Programming and Neural Networks

Soft Computing Techniques in Voltage Security Analysis (Energy Systems in Electrical Engineering)

Intelligent Systems and Signal Processing in Power Engineering (Power Systems)

Machine Learning and Deep Learning in Real-Time Applications (Advances in Computer and Electrical Engineering)

Machine Learning and Deep Learning in Real-Time Applications (Advances in Computer and Electrical Engineering (Acee))

Artificial Intelligence Techniques in Power Systems Operations and Analysis (Advances in Computational Collective Intelligence)

Predictive Modelling for Energy Management and Power Systems Engineering

Smart Energy Management: Data Driven Methods for Energy Service Innovation

CRC Press Electric Power Distribution, Automation, and Control

AI for Power Electronics and Renewable Energy Systems (Energy Engineering)

Power, Control and Optimization: 239 (Lecture Notes in Electrical Engineering, 239)

Artificial Intelligence for Power Electronics

Artificial Intelligence in Power System Optimization

Computational Methodologies for Electrical and Electronics Engineers

Big Data Application in Power Systems

Innovative Technologies on Electrical Power Systems for Smart Cities Infrastructure: Proceedings of the 1st International Conference on Electrical ... (Sustainable Civil Infrastructures)