A review of solar forecasting, its dependence on atmospheric sciences and implications for grid integration: Towards carbon neutrality
The ability to forecast solar irradiance plays an indispensable role in solar power
forecasting, which constitutes an essential step in planning and operating power systems …
forecasting, which constitutes an essential step in planning and operating power systems …
A review of deep learning for renewable energy forecasting
As renewable energy becomes increasingly popular in the global electric energy grid,
improving the accuracy of renewable energy forecasting is critical to power system planning …
improving the accuracy of renewable energy forecasting is critical to power system planning …
Electric load forecasting based on deep learning and optimized by heuristic algorithm in smart grid
G Hafeez, KS Alimgeer, I Khan - Applied Energy, 2020 - Elsevier
Accurate electric load forecasting is important due to its application in the decision making
and operation of the power grid. However, the electric load profile is a complex signal due to …
and operation of the power grid. However, the electric load profile is a complex signal due to …
Review on forecasting of photovoltaic power generation based on machine learning and metaheuristic techniques
The modernisation of the world has significantly reduced the prime sources of energy such
as coal, diesel and gas. Thus, alternative energy sources based on renewable energy have …
as coal, diesel and gas. Thus, alternative energy sources based on renewable energy have …
An interpretable probabilistic model for short-term solar power forecasting using natural gradient boosting
G Mitrentsis, H Lens - Applied Energy, 2022 - Elsevier
PV power forecasting models are predominantly based on machine learning algorithms
which do not provide any insight into or explanation about their predictions (black boxes) …
which do not provide any insight into or explanation about their predictions (black boxes) …
A review on the integration of probabilistic solar forecasting in power systems
As one of the fastest growing renewable energy sources, the integration of solar power
poses great challenges to power systems due to its variable and uncertain nature. As an …
poses great challenges to power systems due to its variable and uncertain nature. As an …
[HTML][HTML] Improved photovoltaic self-consumption in residential buildings with distributed and centralized smart charging of electric vehicles
R Fachrizal, J Munkhammar - Energies, 2020 - mdpi.com
The integration of photovoltaic (PV) and electric vehicle (EV) charging in residential
buildings has increased in recent years. At high latitudes, both pose new challenges to the …
buildings has increased in recent years. At high latitudes, both pose new challenges to the …
A review of behind-the-meter solar forecasting
Solar photovoltaic systems largely integrated within the distribution grid are operated
'behind-the-meter'and power generation cannot be directly monitored by most utilities. The …
'behind-the-meter'and power generation cannot be directly monitored by most utilities. The …
Distributed energy resources on distribution networks: A systematic review of modelling, simulation, metrics, and impacts
J Caballero-Pena, C Cadena-Zarate… - International Journal of …, 2022 - Elsevier
Distributed energy resources (DERs) have gained particular attention in the last few years
owing to their rapid deployment in power capacity installation and expansion into …
owing to their rapid deployment in power capacity installation and expansion into …
A privacy-preserving federated learning method for probabilistic community-level behind-the-meter solar generation disaggregation
Accurate estimation of residential solar photovoltaic (PV) generation is crucial for the power
distribution and demand response program implementation. Currently, most distributed PVs …
distribution and demand response program implementation. Currently, most distributed PVs …