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Latest papers without code

Deep Learning for Intelligent Demand Response and Smart Grids: A Comprehensive Survey

20 Jan 2021

Electricity is one of the mandatory commodities for mankind today.

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Probabilistic electric load forecasting through Bayesian Mixture Density Networks

23 Dec 2020

Probabilistic load forecasting (PLF) is a key component in the extended tool-chain required for efficient management of smart energy grids.

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A Data-Driven Machine Learning Approach for Consumer Modeling with Load Disaggregation

4 Nov 2020

In the first stage, disaggregation of the load into fixed and shiftable components is accomplished by means of a hybrid algorithm consisting of non-negative matrix factorization (NMF) and Gaussian mixture models (GMM), with the latter trained by an expectation-maximization (EM) algorithm.

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Recurrent Neural Based Electricity Load Forecasting of G-20 Members

24 Oct 2020

Due to uncertain demand of electricity at receiving end of station causes several challenges such as: reduction in performance parameters of generating and receiving end stations, minimization in revenue, increases the jeopardize for the utility to predict the future energy need for a company etc.

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Dynamic mode decomposition for forecasting and analysis of power grid load data

8 Oct 2020

Time series forecasting remains a central challenge problem in almost all scientific disciplines, including load modeling in power systems engineering.

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A Meta-learning based Distribution System Load Forecasting Model Selection Framework

25 Sep 2020

This paper presents a meta-learning based, automatic distribution system load forecasting model selection framework.

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N-BEATS neural network for mid-term electricity load forecasting

24 Sep 2020

This paper addresses the mid-term electricity load forecasting (MTLF) problem.

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Adaptive Methods for Short-Term Electricity Load Forecasting During COVID-19 Lockdown in France

14 Sep 2020

One of the consequences of this policy is a significant change in electricity consumption patterns.

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Deep Learning Based Load Forecasting: from Research to Deployment -- Opportunities and Challenges

12 Aug 2020

We also present the challenges associated with the real-time deployment of such systems as well as the research opportunities presented by a fully functional forecasting system that has been developed within the National Renewable Energy Laboratory's Intelligent Campus program.

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Identification of TV Channel Watching from Smart Meter Data Using Energy Disaggregation

1 Jul 2020

Smart meters are used to measure the energy consumption of households.

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