4.4 Article

Machine Learning Approach Electric Appliance Consumption and Peak Demand Forecasting of Residential Customers Using Smart Meter Data

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Energy & Fuels

A Smart Forecasting Approach to District Energy Management

Baris Yuce et al.

ENERGIES (2017)

Article Computer Science, Information Systems

A Machine Learning Decision-Support System Improves the Internet of Things' Smart Meter Operations

Joseph Siryani et al.

IEEE INTERNET OF THINGS JOURNAL (2017)

Proceedings Paper Computer Science, Artificial Intelligence

Forecasting of Smart Meter Time Series Based on Neural Networks

Thierry Zufferey et al.

DATA ANALYTICS FOR RENEWABLE ENERGY INTEGRATION (DARE 2016) (2017)

Proceedings Paper Green & Sustainable Science & Technology

Smart meter data analytics for optimal customer selection in demand response programs

Madeline Martinez-Pabon et al.

3RD INTERNATIONAL CONFERENCE ON ENERGY AND ENVIRONMENT RESEARCH, ICEER 2016 (2017)

Article Construction & Building Technology

Applied machine learning: Forecasting heat load in district heating system

Samuel Idowu et al.

ENERGY AND BUILDINGS (2016)

Article Automation & Control Systems

Smart Electricity Meter Data Intelligence for Future Energy Systems: A Survey

Damminda Alahakoon et al.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2016)

Article Engineering, Electrical & Electronic

A Machine Learning Approach to Meter Placement for Power Quality Estimation in Smart Grid

Sardar Ali et al.

IEEE TRANSACTIONS ON SMART GRID (2016)

Article Engineering, Electrical & Electronic

Analysis and Clustering of Residential Customers Energy Behavioral Demand Using Smart Meter Data

Stephen Haben et al.

IEEE TRANSACTIONS ON SMART GRID (2016)

Proceedings Paper Energy & Fuels

Internet of Things Role in the Renewable Energy Resources

A. R. Al-Ali

3RD INTERNATIONAL CONFERENCE ON POWER AND ENERGY SYSTEMS ENGINEERING, CPESE 2016 (2016)

Article Automation & Control Systems

Support-Vector-Machine-Based Proactive Cascade Prediction in Smart Grid Using Probabilistic Framework

Sudha Gupta et al.

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2015)

Proceedings Paper Engineering, Civil

Forecasting Domestic Water Consumption from Smart Meter Readings using Statistical Methods and Artificial Neural Networks

David Walker et al.

COMPUTING AND CONTROL FOR THE WATER INDUSTRY (CCWI2015): SHARING THE BEST PRACTICE IN WATER MANAGEMENT (2015)

Proceedings Paper Computer Science, Software Engineering

Framework using Bayesian Belief Networks for Utility Effective Management and Operations

Joseph Siryani et al.

2015 IEEE FIRST INTERNATIONAL CONFERENCE ON BIG DATA COMPUTING SERVICE AND APPLICATIONS (BIGDATASERVICE 2015) (2015)

Article Computer Science, Information Systems

Towards Statistical Modeling and Machine Learning Based Energy Usage Forecasting in Smart Grid

Wei Yu et al.

APPLIED COMPUTING REVIEW (2015)

Article Engineering, Electrical & Electronic

Household Energy Consumption Segmentation Using Hourly Data

Jungsuk Kwac et al.

IEEE TRANSACTIONS ON SMART GRID (2014)

Article Computer Science, Information Systems

An Information Framework for Creating a Smart City Through Internet of Things

Jiong Jin et al.

IEEE INTERNET OF THINGS JOURNAL (2014)

Proceedings Paper Construction & Building Technology

The daily and hourly energy consumption and load forecasting using artificial neural network method: a case study using a set of 93 households in Portugal

Filipe Rodrigues et al.

6TH INTERNATIONAL CONFERENCE ON SUSTAINABILITY IN ENERGY AND BUILDINGS (2014)

Article Engineering, Electrical & Electronic

Smart Meter Driven Segmentation: What Your Consumption Says About You

Adrian Albert et al.

IEEE TRANSACTIONS ON POWER SYSTEMS (2013)