A deep learning framework for building energy consumption forecast

Author:

Somu Nivethitha,Raman M R Gauthama,Ramamritham Krithi

Funder

Ministry of Human Resource Development

Indian Institute of Technology Bombay

Publisher

Elsevier BV

Subject

Renewable Energy, Sustainability and the Environment

Reference56 articles.

1. Modelling a combined method based on ANFIS and neural network improved by DE algorithm: a case study for short-term electricity demand forecasting;Yang;Appl Soft Comput J,2016

2. An artificial neural network (ANN) expert system enhanced with the electromagnetism-based firefly algorithm (EFA) for predicting the energy consumption in buildings;Bui;Energy,2019

3. Forecasting district-scale energy dynamics through integrating building network and long short-term memory learning algorithm;Wang;Appl Energy,2019

4. Forecasting energy consumption of multi-family residential buildings using support vector regression: investigating the impact of temporal and spatial monitoring granularity on performance accuracy;Jain;Appl Energy,2014

5. International energy outlook 2016 with projections to 2040;Conti,2016

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