Recent techniques used in home energy management systems: A review
Power systems are going through a transition period. Consumers want more active
participation in electric system management, namely assuming the role of producers …
participation in electric system management, namely assuming the role of producers …
Design of ensemble forecasting models for home energy management systems
The increasing levels of energy consumption worldwide is raising issues with respect to
surpassing supply limits, causing severe effects on the environment, and the exhaustion of …
surpassing supply limits, causing severe effects on the environment, and the exhaustion of …
Deep reinforcement learning based solution for sustainable energy management in photovoltaic systems
Photovoltaic solar cells (PSCs) have emerged as a practical solution to meet the growing
energy demands, offering advantages such as high efficiency, flexibility, and adaptability to …
energy demands, offering advantages such as high efficiency, flexibility, and adaptability to …
Energy disaggregation using multi-objective genetic algorithm designed neural networks
Energy-saving schemes are nowadays a major worldwide concern. As the building sector is
a major energy consumer, and hence greenhouse gas emitter, research in home energy …
a major energy consumer, and hence greenhouse gas emitter, research in home energy …
From home energy management systems to energy communities: methods and data
This paper introduces the HEMStoEC database, which contains data recorded in the course
of two research projects, NILMforIHEM, and HEMS2IEA, for more than three years. To be …
of two research projects, NILMforIHEM, and HEMS2IEA, for more than three years. To be …
Home Energy Management Systems with Branch-and-Bound Model-Based Predictive Control Techniques
At a global level, buildings constitute one of the most significant energy-consuming sectors.
Current energy policies in the EU and the US emphasize that buildings, particularly those in …
Current energy policies in the EU and the US emphasize that buildings, particularly those in …
Short-Term Solar Irradiance Prediction Based on Adaptive Extreme Learning Machine and Weather Data
A Alzahrani - Sensors, 2022 - mdpi.com
Concerns over fossil fuels and depletable energy sources have motivated renewable energy
sources utilization, such as solar photovoltaic (PV) power. Utilities have started penetrating …
sources utilization, such as solar photovoltaic (PV) power. Utilities have started penetrating …
Comparative study of univariate and multivariate long short-term memory for very short-term forecasting of global horizontal irradiance
Accurate global horizontal irradiance (GHI) forecasting is crucial for efficient management
and forecasting of the output power of photovoltaic power plants. However, developing a …
and forecasting of the output power of photovoltaic power plants. However, developing a …
[HTML][HTML] Accurate Short-Term GHI Forecasting Using a Novel Temporal Convolutional Network Model
R Elmousaid, N Drioui, R Elgouri, H Agueny… - e-Prime-Advances in …, 2024 - Elsevier
Global energy demand is on the rise, driven by factors such as population growth and
economic development. Utilizing renewable energy is crucial to meeting this energy …
economic development. Utilizing renewable energy is crucial to meeting this energy …
Comparing the Johansen VECM Model to an AI Hybrid Model for the Short Term Photovoltaic Power Forecasting
Z Coya, A Khoodaruth, H Ramenah… - … on Smart Energy …, 2024 - ieeexplore.ieee.org
Photovoltaic (PV) power systems have witnessed a massive growth of over the years.
However, owing to the intermittent nature of solar energy, PV systems pose threats to the …
However, owing to the intermittent nature of solar energy, PV systems pose threats to the …