Big Data Analytics Based Short Term Load Forecasting Model for Residential Buildings in Smart Grids

IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) ◽

10.1109/infocomwkshps50562.2020.9163031 ◽

2020 ◽

Author(s):

Inam Ullah Khan ◽

Nadeem Javaid ◽

C. James Taylor ◽

Kelum A. A. Gamage ◽

Xiandong Ma

Keyword(s):

Big Data ◽

Smart Grids ◽

Data Analytics ◽

Residential Buildings ◽

Load Forecasting ◽

Big Data Analytics ◽

Forecasting Model ◽

Short Term Load Forecasting

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Big Data Analytics for Price and Load Forecasting in Smart Grids

Lecture Notes on Data Engineering and Communications Technologies - Advances on Broadband and Wireless Computing, Communication and Applications ◽

10.1007/978-3-030-02613-4_7 ◽

2018 ◽

pp. 77-87 ◽

Author(s):

Sana Mujeeb ◽

Nadeem Javaid ◽

Mariam Akbar ◽

Rabiya Khalid ◽

Orooj Nazeer ◽

...

Keyword(s):

Big Data ◽

Smart Grids ◽

Data Analytics ◽

Load Forecasting ◽

Big Data Analytics

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Short Term Load Forecasting Model of Building Power System with Demand Side Response Based on Big Data of Electrical Power

Advances in Intelligent Systems and Computing - The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy ◽

10.1007/978-3-030-62743-0_55 ◽

2020 ◽

pp. 382-389

Author(s):

Xiang Fang ◽

Yi Wang ◽

Lin Xia ◽

Xuan Yang ◽

Yibo Lai

Keyword(s):

Big Data ◽

Power System ◽

Electrical Power ◽

Load Forecasting ◽

Forecasting Model ◽

Demand Side ◽

Short Term Load Forecasting ◽

Demand Side Response

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A Short-Term Load Forecasting Model Based on Improved Random Forest Algorithm

2020 7th International Forum on Electrical Engineering and Automation (IFEEA) ◽

10.1109/ifeea51475.2020.00195 ◽

2020 ◽

Author(s):

Huang Yiling ◽

Huang Shaofeng

Keyword(s):

Random Forest ◽

Load Forecasting ◽

Forecasting Model ◽

Random Forest Algorithm ◽

Model Based ◽

Short Term Load Forecasting

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An Efficient Regional Short-Term Load Forecasting Model for Smart Grid Energy Management

IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society ◽

10.1109/iecon43393.2020.9254736 ◽

2020 ◽

Author(s):

Ajit Muzumdar ◽

Chirag Modi ◽

C Vyjayanthi

Keyword(s):

Energy Management ◽

Load Forecasting ◽

Forecasting Model ◽

Short Term Load Forecasting

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Short-term Load Forecasting Model Using Fuzzy C Means Based Radial Basis Function Network

Sixth International Conference on Intelligent Systems Design and Applications ◽

10.1109/isda.2006.235 ◽

2006 ◽

Author(s):

Youchan Zhu ◽

Yujun He

Keyword(s):

Radial Basis Function ◽

Basis Function ◽

Radial Basis Function Network ◽

Load Forecasting ◽

Forecasting Model ◽

Fuzzy C Means ◽

Short Term Load Forecasting ◽

Radial Basis ◽

Function Network

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Methods of Training of Neural Networks for Short Term Load Forecasting in Smart Grids

Computational Collective Intelligence - Lecture Notes in Computer Science ◽

10.1007/978-3-319-67074-4_42 ◽

2017 ◽

pp. 433-441

Author(s):

Robert Lis ◽

Artem Vanin ◽

Anastasiia Kotelnikova

Keyword(s):

Neural Networks ◽

Smart Grids ◽

Load Forecasting ◽

Short Term Load Forecasting

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Effect of Filtering in Big Data Analytics for Load Forecasting in Smart Grid

Communications in Computer and Information Science - Machine Learning, Image Processing, Network Security and Data Sciences ◽

10.1007/978-981-15-6315-7_10 ◽

2020 ◽

pp. 125-134

Author(s):

Sneha Rai ◽

Mala De

Keyword(s):

Big Data ◽

Data Analytics ◽

Load Forecasting ◽

Big Data Analytics

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Big Data Analytics for Wireless Sensor Networks and Smart Grids: Applications, Design Issues, and Future Challenges

Integration of WSNs into Internet of Things ◽

10.1201/9781003107521-8 ◽

2021 ◽

pp. 135-163

Author(s):

Ashi Tyagi ◽

Bharat Bhushan ◽

Rahul Veer Singh

Keyword(s):

Wireless Sensor Networks ◽

Big Data ◽

Sensor Networks ◽

Smart Grids ◽

Data Analytics ◽

Big Data Analytics ◽

Wireless Sensor ◽

Design Issues ◽

Future Challenges

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Algorithm Optimization of Short-Term Load Forecasting Model Based on Least Square Support Vector Machine

Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2021) - Advances in Intelligent Systems and Computing ◽

10.1007/978-3-030-76346-6_26 ◽

2021 ◽

pp. 279-287

Author(s):

Yuh-Chung Lin ◽

Shusen Kuang ◽

Kuo-Chi Chang ◽

Hui-Qiong Deng ◽

Fu-Hsiang Chang ◽

...

Keyword(s):

Support Vector Machine ◽

Load Forecasting ◽

Least Square ◽

Support Vector ◽

Forecasting Model ◽

Algorithm Optimization ◽

Model Based ◽

Short Term Load Forecasting

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A hybrid short-term load forecasting model based on variational mode decomposition and long short-term memory networks considering relevant factors with Bayesian optimization algorithm

Applied Energy ◽

10.1016/j.apenergy.2019.01.055 ◽

2019 ◽

Vol 237 ◽

pp. 103-116 ◽

Author(s):

Feifei He ◽

Jianzhong Zhou ◽

Zhong-kai Feng ◽

Guangbiao Liu ◽

Yuqi Yang

Keyword(s):

Short Term Memory ◽

Load Forecasting ◽

Bayesian Optimization ◽

Forecasting Model ◽

Bayesian Optimization Algorithm ◽

Mode Decomposition ◽

Short Term Load Forecasting ◽

Long Short Term Memory ◽

Relevant Factors

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