This study consists of two forecasting models: solar energy generation and household electricity consumption. Both types of model were tested using Faceboo...
Increasing demand for renewable-based clean power generation, combined with supportive government policies, incentives, …
This paper presents a novel and extensive dataset featuring comprehensive cross-sectional data from 13 households with n…
Accurate day-ahead forecasting of PV generation and load demand for an individual consumer gets more attention as the de…
This study consists of two forecasting models: solar energy generation and household electricity consumption. Both types…
The research utilizes a systematic narrative literature review to fully explore various forecasting models in solar PV p…
We first summarized individual and hybrid deep learning models for electrical demand prediction and solar photovoltaic p…
In the last decade, solar has grown with an average annual rate of 26 percent, reaching a capacity of over 138 gigawatts…
We expect the combined share of generation from solar power and wind power to rise from about 18% in 2025 to about 21% i…
We use real-world data to evaluate the performance of LSTM, Convolutional, and hybrid Convolutional-LSTM networks in pre…
Residential solar PV consists of photovoltaic cells and is nonchemical technology that turns sunlight into energy to pow…
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