Data Analytics for Renewable Energy Integration. Technologies, Systems and Society - Lecture Notes in Computer Science
Latest Publications

TOTAL DOCUMENTS

(FIVE YEARS 0)

H-INDEX

(FIVE YEARS 0)

Published By Springer International Publishing

9783030043025, 9783030043032

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Mathematical Optimization of Design Parameters of Photovoltaic Module

Data Analytics for Renewable Energy Integration. Technologies, Systems and Society - Lecture Notes in Computer Science ◽

10.1007/978-3-030-04303-2_1 ◽

2018 ◽

pp. 1-12

Author(s):

Dávid Kubík ◽

Jaroslav Loebl

Keyword(s):

Mathematical Optimization ◽

Design Parameters ◽

Photovoltaic Module ◽

Optimization Of Design Parameters

Download Full-text

Deep Learning for Wave Height Classification in Satellite Images for Offshore Wind Access

Data Analytics for Renewable Energy Integration. Technologies, Systems and Society - Lecture Notes in Computer Science ◽

10.1007/978-3-030-04303-2_6 ◽

2018 ◽

pp. 83-93

Author(s):

Ryan J. Spick ◽

James A. Walker

Keyword(s):

Deep Learning ◽

Wave Height ◽

Satellite Images ◽

Offshore Wind

Download Full-text

Fused Lasso Dimensionality Reduction of Highly Correlated NWP Features

Data Analytics for Renewable Energy Integration. Technologies, Systems and Society - Lecture Notes in Computer Science ◽

10.1007/978-3-030-04303-2_2 ◽

2018 ◽

pp. 13-26

Author(s):

Alejandro Catalina ◽

Carlos M. Alaíz ◽

José R. Dorronsoro

Keyword(s):

Dimensionality Reduction ◽

Fused Lasso ◽

Highly Correlated

Download Full-text

Nonintrusive Load Monitoring Based on Deep Learning

Data Analytics for Renewable Energy Integration. Technologies, Systems and Society - Lecture Notes in Computer Science ◽

10.1007/978-3-030-04303-2_11 ◽

2018 ◽

pp. 137-147 ◽

Cited By ~ 2

Author(s):

Ke Wang ◽

Haiwang Zhong ◽

Nanpeng Yu ◽

Qing Xia

Keyword(s):

Deep Learning ◽

Load Monitoring

Download Full-text

Short-Term Electricity Consumption Forecast Using Datasets of Various Granularities

Data Analytics for Renewable Energy Integration. Technologies, Systems and Society - Lecture Notes in Computer Science ◽

10.1007/978-3-030-04303-2_9 ◽

2018 ◽

pp. 116-126

Author(s):

Yusuf Arslan ◽

Aybike Şimşek Dilbaz ◽

Seyda Ertekin ◽

Pinar Karagoz ◽

Aysenur Birturk ◽

...

Keyword(s):

Electricity Consumption ◽

Short Term

Download Full-text

Machine Learning as Surrogate to Building Performance Simulation: A Building Design Optimization Application

Data Analytics for Renewable Energy Integration. Technologies, Systems and Society - Lecture Notes in Computer Science ◽

10.1007/978-3-030-04303-2_7 ◽

2018 ◽

pp. 94-102

Author(s):

Sokratis Papadopoulos ◽

Wei Lee Woon ◽

Elie Azar

Keyword(s):

Machine Learning ◽

Design Optimization ◽

Building Design ◽

Building Performance ◽

Performance Simulation ◽

Building Performance Simulation

Download Full-text

Urban Climate Data Sensing, Warehousing, and Analysis: A Case Study in the City of Abu Dhabi, United Arab Emirates

Data Analytics for Renewable Energy Integration. Technologies, Systems and Society - Lecture Notes in Computer Science ◽

10.1007/978-3-030-04303-2_12 ◽

2018 ◽

pp. 148-165

Author(s):

Prajowal Manandhar ◽

Prashanth Reddy Marpu ◽

Zeyar Aung

Keyword(s):

United Arab Emirates ◽

Urban Climate ◽

Abu Dhabi ◽

Climate Data ◽

The City

Download Full-text

Sampling Strategies for Representative Time Series in Load Flow Calculations

Data Analytics for Renewable Energy Integration. Technologies, Systems and Society - Lecture Notes in Computer Science ◽

10.1007/978-3-030-04303-2_3 ◽

2018 ◽

pp. 27-48

Author(s):

Janosch Henze ◽

Stephan Kutzner ◽

Bernhard Sick

Keyword(s):

Time Series ◽

Load Flow ◽

Sampling Strategies

Download Full-text

Renewable Energy Integration: Bayesian Networks for Probabilistic State Estimation

Data Analytics for Renewable Energy Integration. Technologies, Systems and Society - Lecture Notes in Computer Science ◽

10.1007/978-3-030-04303-2_5 ◽

2018 ◽

pp. 63-82

Author(s):

Ole J. Mengshoel ◽

Priya K. Sundararajan ◽

Erik Reed ◽

Dongzhen Piao ◽

Briana Johnson

Keyword(s):

Renewable Energy ◽

Bayesian Networks ◽

State Estimation ◽

Energy Integration ◽

Renewable Energy Integration

Download Full-text

Clustering River Basins Using Time-Series Data Mining on Hydroelectric Energy Generation

Data Analytics for Renewable Energy Integration. Technologies, Systems and Society - Lecture Notes in Computer Science ◽

10.1007/978-3-030-04303-2_8 ◽

2018 ◽

pp. 103-115

Author(s):

Yusuf Arslan ◽

Dilek Küçük ◽

Sinan Eren ◽

Aysenur Birturk

Keyword(s):

Data Mining ◽

Time Series ◽

Time Series Data ◽

Energy Generation ◽

River Basins ◽

Series Data ◽

Time Series Data Mining ◽

Hydroelectric Energy

Download Full-text

Data Analytics for Renewable Energy Integration. Technologies, Systems and Society - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Mathematical Optimization of Design Parameters of Photovoltaic Module

Deep Learning for Wave Height Classification in Satellite Images for Offshore Wind Access

Fused Lasso Dimensionality Reduction of Highly Correlated NWP Features

Nonintrusive Load Monitoring Based on Deep Learning

Short-Term Electricity Consumption Forecast Using Datasets of Various Granularities

Machine Learning as Surrogate to Building Performance Simulation: A Building Design Optimization Application

Urban Climate Data Sensing, Warehousing, and Analysis: A Case Study in the City of Abu Dhabi, United Arab Emirates

Sampling Strategies for Representative Time Series in Load Flow Calculations

Renewable Energy Integration: Bayesian Networks for Probabilistic State Estimation

Clustering River Basins Using Time-Series Data Mining on Hydroelectric Energy Generation

Data Analytics for Renewable Energy Integration. Technologies, Systems and Society - Lecture Notes in Computer Science
Latest Publications