Towards a rigorous consideration of occupant behaviours of residential households for effective electrical energy savings: An overview

S Bouktif, A Ouni, S Lazarova-Molnar - Energies, 2022 - mdpi.com
There are two primary ways to save energy within a building:(1) through improving building
engineering structures and adopting efficient appliance ownership, and (2) through …

[PDF][PDF] Analysis of data mining techniques and its applications

FZ Maksood, G Achuthan - International Journal of Computer …, 2016 - academia.edu
The exponential increase in data over the recent years has urged for techniques to log,
process and analyze these records. Heavy data repositories with a bulk of unprocessed …

Improving long-horizon forecasts with expectation-biased LSTM networks

AA Ismail, T Wood, HC Bravo - arXiv preprint arXiv:1804.06776, 2018 - arxiv.org
State-of-the-art forecasting methods using Recurrent Neural Net-works (RNN) based on
Long-Short Term Memory (LSTM) cells have shown exceptional performance targeting short …

Empowering Sustainability: A Consumer-Centric Analysis Based on Advanced Electricity Consumption Predictions

HN Durmus Senyapar, A Aksoz - Sustainability, 2024 - mdpi.com
This study addresses the critical challenge of accurately forecasting electricity consumption
by utilizing Exponential Smoothing and Seasonal Autoregressive Integrated Moving …

Prediction of energy consumed by home appliances with the visualization of plot analysis applying different classification algorithm

S Bharati, MA Rahman, R Mondal, P Podder… - Frontiers in Intelligent …, 2020 - Springer
This paper mainly studies about the prediction of energy consumed by appliances that have
been generally used in the house for low energy. Weather records from an adjacent station …

Demand dispatch framework for smart distribution grids

N Arghira, I Stamatescu, I Făgărăsan… - 2017 12th IEEE …, 2017 - ieeexplore.ieee.org
The paper presents the new concept of demand dispatch at the distribution level, in addition
to generation dispatch. It benefits of new communication capabilities and computation …

A comparison between NARX neural networks and symbolic regression: An application for energy consumption forecasting

R Rueda Delgado, LG Baca Ruíz… - … and Management of …, 2018 - Springer
Energy efficiency in public buildings has become a major research field, due to the impacts
of the energy consumption in terms of pollution and economic aspects. For this reason …

[PDF][PDF] The Future of Natural Gas as a Transition Fuel: Forecasting natural gas-generated power in Germany and the United Kingdom. What can we expect from …

KE Erdal, S Bergsjø - 2021 - openaccess.nhh.no
This thesis intends to answer the following research question: What role will natural gas
serve in the transition to renewable energy sources in the German and British power sectors …

[PDF][PDF] An approach towards Reactive energy management coupled with an Anticipative BEMS

MP Singh, S Ploix, F Wurtz - Building Simulation Conference, 2015 - researchgate.net
Because of energy efficiency, future modern buildings are going to be more complex to
manage than existing ones. Connection with smart grids as well as local adaptations to …

Prediction of Energy Consumed by Home Appliances with the Visualization of Plot Analysis Applying Different Classification Algorithm

P Podder, AA Alvi, A Mahmood - Frontiers in Intelligent Computing: Theory …, 2018 - Springer
This paper mainly studies about the prediction of energy consumed by appliances that have
been generally used in the house for low energy. Weather records from an adjacent station …