[HTML][HTML] Building plug load mode detection, forecasting and scheduling

L Botman, J Lago, X Fu, K Chia, J Wolf, J Kleissl… - Applied Energy, 2024 - Elsevier
In an era of increasing energy demands and environmental concerns, optimizing energy
consumption within buildings is crucial. Despite the vast improvements in HVAC and lighting …

[HTML][HTML] Reduction in residential electricity bill and carbon dioxide emission through renewable energy integration using an adaptive feed-forward neural network …

R Balakrishnan, V Geetha, MR Kumar, MF Leung - Sustainability, 2023 - mdpi.com
Increasing electricity demand and the emergence of smart grids have given home energy
management systems new potential. This research investigates the use of an artificial neural …

Optimizing real-time demand response in smart homes through fuzzy-based energy management and control system

İF Tepe, E Irmak - Electrical Engineering, 2024 - Springer
This paper introduces an innovative demand response energy management system tailored
for smart homes, aimed at optimizing appliance usage in real time. The system considers …

Prediction of electricity-consumption and residential bills based on artificial neural network

MY Hasan, DJ Kadhim, AJ Humaidi - International Review of …, 2024 - akjournals.com
Nowadays, predicting the value of electrical usage has made it easier for electricity
consumers to reduce their residential bills. This is done by introducing a new prediction …

Implementation of ANN and response surface method for dual-fuel CI engine optimization and prediction using water infusion and biofuel

S Pramanik - Multimedia Tools and Applications, 2025 - Springer
In this study, tests were done to see what would happen if hydrogen (H2) and lemon grass
oil (LO) were used for a lone-cylinder compression ignition engine as a partial diesel …

Time Series Forecasting, Applications on Low Voltage Grid Data

L Botman - 2024 - lirias.kuleuven.be
In an era marked by the pressing need to address climate change, innovative solutions in
energy management are becoming increasingly crucial. In this thesis, three main …

Multi-Physics and Artificial Intelligence Models for Digital Twin Implementations of Residential Electric Loads

SB Poore, RE Alden, H Gong… - 2022 11th International …, 2022 - ieeexplore.ieee.org
Heating, ventilation, and air-conditioning (HVAC) and electric water heating (EWH)
represent residential loads. Simulating these appliances for electric load forecasting …

Solar power load energy management system–A review

N Waleed, RK Antar, AAA Al-Karakchi - AIP Conference Proceedings, 2023 - pubs.aip.org
Concerns have been raised about global warming and energy scarcity, as well as the
economic and sustainability characteristics of renewable energy. In recent years, power load …