PV power forecasting based on data-driven models: a review
Accurate PV power forecasting techniques are a prerequisite for the optimal management of
the grid and its stability. This paper presents a review of the recent developments in the field …
the grid and its stability. This paper presents a review of the recent developments in the field …
Photovoltaic output power performance assessment and forecasting: Impact of meteorological variables
Meteorological variables have an important effect on the performance of a grid-connected
photovoltaic station, in this paper, the impact of meteorological variables on the 6 mWp grid …
photovoltaic station, in this paper, the impact of meteorological variables on the 6 mWp grid …
Combining a deep learning model with multivariate empirical mode decomposition for hourly global horizontal irradiance forecasting
Accurate and reliable global horizontal irradiance forecasting is one of the solutions for the
associated problems with grid-integrated PV plants. This study proposes a novel hybrid …
associated problems with grid-integrated PV plants. This study proposes a novel hybrid …
A review of the state of the art in solar photovoltaic output power forecasting using data-driven models
AK Gupta, RK Singh - Electrical Engineering, 2024 - Springer
The integration of Photovoltaic (PV) systems into grid has a detrimental effect on grid
stability, dependability, reliability, efficiency, economy, planning and scheduling. Thus, a …
stability, dependability, reliability, efficiency, economy, planning and scheduling. Thus, a …
Assessing Interconnected Factors in CO2 Emissions: A Case Study of India Using Principal Component Analysis
Y Zhang, A Pakrashi, S Dev - 2023 IEEE 7th Conference on …, 2023 - ieeexplore.ieee.org
The rapid increase in global carbon dioxide (CO 2) emissions due to human activities has
raised concerns about its impact on climate change. This paper focuses on understanding …
raised concerns about its impact on climate change. This paper focuses on understanding …
A multiscale network with mixed features and extended regional weather forecasts for predicting short-term photovoltaic power
R Zhang, Y Wu, L Zhang, C Xu, ZY Wang, Y Zhang… - Energy, 2025 - Elsevier
Photovoltaic (PV) power is regarded as one of the most critical renewable energy sources
for mitigating climate change. The generation process of PV power is significantly influenced …
for mitigating climate change. The generation process of PV power is significantly influenced …
Techno-economic performance analysis of grid-tied solar PV systems under tropical savanna climatic conditions in Kenya
The contribution of solar PV to the electricity generation in Kenya was approximately 3.6%
as of June 2021. The challenges for low utilising were associated with limited information on …
as of June 2021. The challenges for low utilising were associated with limited information on …
Enhancing Intra-Hour Solar Irradiance Estimation through Knowledge Distillation and Infrared Sky Images
IR Nijhum, D Kaloni, P Kenny… - IGARSS 2024-2024 IEEE …, 2024 - ieeexplore.ieee.org
Recent years have seen increased interest in solar as a popular renewable energy source.
The adoption of solar energy is directed towards increasing research interest in the …
The adoption of solar energy is directed towards increasing research interest in the …
An evaluation of predictor variables for photovoltaic power forecasting
Accurate forecasts of the electric power generation by solar Photovoltaic (PV) systems are
essential to support their vast increasing integration. This study evaluates the …
essential to support their vast increasing integration. This study evaluates the …
The impact of distance, cardinal-direction and time on solar irradiance estimation: A case-study
Long term Global Horizontal Irradiance (GHI) data sets are essential to assess the local
solar resource and estimate the potential power production of photovoltaic systems …
solar resource and estimate the potential power production of photovoltaic systems …