Intelligent Computing Techniques for Smart Energy Systems - Lecture Notes in Electrical Engineering
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TOTAL DOCUMENTS

108

(FIVE YEARS 108)

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(FIVE YEARS 2)

Published By Springer Singapore

9789811502132, 9789811502149

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

A Review on Demand Side Management Forecasting Models for Smart Grid

Intelligent Computing Techniques for Smart Energy Systems - Lecture Notes in Electrical Engineering ◽

10.1007/978-981-15-0214-9_96 ◽

2019 ◽

pp. 903-910

Author(s):

Sweta Singh ◽

Neeraj Kanwar

Keyword(s):

Smart Grid ◽

Demand Side Management ◽

Demand Side ◽

Forecasting Models ◽

On Demand

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Activation Map Networks with Deep Graphical Model for Semantic Segmentation

Intelligent Computing Techniques for Smart Energy Systems - Lecture Notes in Electrical Engineering ◽

10.1007/978-981-15-0214-9_89 ◽

2019 ◽

pp. 845-852

Author(s):

Cheruku Sandesh Kumar ◽

Ratnadeep Roy ◽

Sanyog Rawat ◽

Archek Praveen Kumar

Keyword(s):

Graphical Model ◽

Semantic Segmentation ◽

Activation Map

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Optimal DG Allocation in a Microgrid Using Droop-Controlled Load Flow

Intelligent Computing Techniques for Smart Energy Systems - Lecture Notes in Electrical Engineering ◽

10.1007/978-981-15-0214-9_77 ◽

2019 ◽

pp. 745-752

Author(s):

Ankit Uniyal ◽

Saumendra Sarangi

Keyword(s):

Load Flow

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UPM-NoC: Learning Based Framework to Predict Performance Parameters of Mesh Architecture in On-Chip Networks

Intelligent Computing Techniques for Smart Energy Systems - Lecture Notes in Electrical Engineering ◽

10.1007/978-981-15-0214-9_75 ◽

2019 ◽

pp. 723-733

Author(s):

Anil Kumar ◽

Basavaraj Talawar

Keyword(s):

Performance Parameters ◽

Mesh Architecture ◽

On Chip

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Color Image Watermarking with Watermark Hashing

Intelligent Computing Techniques for Smart Energy Systems - Lecture Notes in Electrical Engineering ◽

10.1007/978-981-15-0214-9_70 ◽

2019 ◽

pp. 673-681

Author(s):

Neha Singh ◽

Sandeep Joshi ◽

Shilpi Birla

Keyword(s):

Color Image ◽

Image Watermarking ◽

Color Image Watermarking

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Low Power Adder Circuits Using Various Leakage Reduction Techniques

Intelligent Computing Techniques for Smart Energy Systems - Lecture Notes in Electrical Engineering ◽

10.1007/978-981-15-0214-9_65 ◽

2019 ◽

pp. 619-629

Author(s):

Shreya Upadhyay ◽

Sugandha Tiwari ◽

Shilpi Birla ◽

Neha Singh

Keyword(s):

Low Power ◽

Leakage Reduction ◽

Reduction Techniques

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Real-Time High-Speed Novel Data Acquisition System Based on ZYNQ

Intelligent Computing Techniques for Smart Energy Systems - Lecture Notes in Electrical Engineering ◽

10.1007/978-981-15-0214-9_61 ◽

2019 ◽

pp. 583-590

Author(s):

Himanshu Tyagi ◽

Nagendra P. Gajjar ◽

Mainak Bandyopadhyay ◽

Arun Chakraborty

Keyword(s):

Data Acquisition ◽

Real Time ◽

High Speed ◽

Data Acquisition System ◽

Acquisition System

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A New Line Voltage Stability Index (NLVSI) For Voltage Stability Assessment

Intelligent Computing Techniques for Smart Energy Systems - Lecture Notes in Electrical Engineering ◽

10.1007/978-981-15-0214-9_57 ◽

2019 ◽

pp. 535-548 ◽

Cited By ~ 1

Author(s):

Trinadha Burle ◽

V. V. S. Bhaskara Reddy Chintapalli ◽

Phanindra Thota

Keyword(s):

Voltage Stability ◽

Stability Index ◽

Stability Assessment ◽

Line Voltage ◽

Voltage Stability Index

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Fault Location Methods in HVDC Transmission System—A Review

Intelligent Computing Techniques for Smart Energy Systems - Lecture Notes in Electrical Engineering ◽

10.1007/978-981-15-0214-9_45 ◽

2019 ◽

pp. 411-419

Author(s):

Jay Prakash Keshri ◽

Harpal Tiwari

Keyword(s):

Fault Location ◽

Transmission System ◽

Hvdc Transmission ◽

System A ◽

Location Methods

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Adaptability Analysis of Particle Swarm Optimization Variants in Maximum Power Tracking for Solar PV Systems

Intelligent Computing Techniques for Smart Energy Systems - Lecture Notes in Electrical Engineering ◽

10.1007/978-981-15-0214-9_44 ◽

2019 ◽

pp. 397-409

Author(s):

B. G. Dharshan ◽

N. Rajasekar ◽

R. Srinivasa Sankarkumar

Keyword(s):

Particle Swarm Optimization ◽

Particle Swarm ◽

Maximum Power ◽

Solar Pv ◽

Swarm Optimization ◽

Pv Systems ◽

Maximum Power Tracking

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Intelligent Computing Techniques for Smart Energy Systems - Lecture Notes in Electrical EngineeringLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Singapore

A Review on Demand Side Management Forecasting Models for Smart Grid

Activation Map Networks with Deep Graphical Model for Semantic Segmentation

Optimal DG Allocation in a Microgrid Using Droop-Controlled Load Flow

UPM-NoC: Learning Based Framework to Predict Performance Parameters of Mesh Architecture in On-Chip Networks

Color Image Watermarking with Watermark Hashing

Low Power Adder Circuits Using Various Leakage Reduction Techniques

Real-Time High-Speed Novel Data Acquisition System Based on ZYNQ

A New Line Voltage Stability Index (NLVSI) For Voltage Stability Assessment

Fault Location Methods in HVDC Transmission System—A Review

Adaptability Analysis of Particle Swarm Optimization Variants in Maximum Power Tracking for Solar PV Systems

Intelligent Computing Techniques for Smart Energy Systems - Lecture Notes in Electrical Engineering
Latest Publications