Solar photovoltaic generation forecasting methods: A review
S Sobri, S Koohi-Kamali, NA Rahim - Energy conversion and management, 2018 - Elsevier
Solar photovoltaic plants are widely integrated into most countries worldwide. Due to the
ever-growing utilization of solar photovoltaic plants, either via grid-connection or stand …
ever-growing utilization of solar photovoltaic plants, either via grid-connection or stand …
Review of photovoltaic power forecasting
Variability of solar resource poses difficulties in grid management as solar penetration rates
rise continuously. Thus, the task of solar power forecasting becomes crucial to ensure grid …
rise continuously. Thus, the task of solar power forecasting becomes crucial to ensure grid …
Advanced methods for photovoltaic output power forecasting: A review
Forecasting is a crucial task for successfully integrating photovoltaic (PV) output power into
the grid. The design of accurate photovoltaic output forecasters remains a challenging issue …
the grid. The design of accurate photovoltaic output forecasters remains a challenging issue …
Applications of hybrid models in chemical, petroleum, and energy systems: A systematic review
Mathematical modeling and simulation methods are important tools in studying various
processes in science and engineering. In the current review, we focus on the applications of …
processes in science and engineering. In the current review, we focus on the applications of …
Renewable energy: Present research and future scope of Artificial Intelligence
SK Jha, J Bilalovic, A Jha, N Patel, H Zhang - Renewable and Sustainable …, 2017 - Elsevier
The existence of sunlight, air and other resources on earth must be used in an appropriate
way for human welfare while still protecting the environment and its living creatures. The …
way for human welfare while still protecting the environment and its living creatures. The …
Comparison of different physical models for PV power output prediction
The electricity produced from renewable energy, in particular from wind and photovoltaic
plants, has seen exponential rise in the last decade. Consequently, the prediction of power …
plants, has seen exponential rise in the last decade. Consequently, the prediction of power …
A novel method based on time series ensemble model for hourly photovoltaic power prediction
Photovoltaic (PV) power generation technology is more and more widely used in smart
grids. Accurate prediction of PV power is very important for managing and planning of the …
grids. Accurate prediction of PV power is very important for managing and planning of the …
Time series forecasting for building energy consumption using weighted Support Vector Regression with differential evolution optimization technique
Electricity load forecasting is crucial for effective operation and management of buildings.
Support Vector Regression (SVR) have been successfully used in solving nonlinear …
Support Vector Regression (SVR) have been successfully used in solving nonlinear …
Analysis and validation of 24 hours ahead neural network forecasting of photovoltaic output power
In this paper an artificial neural network for photovoltaic plant energy forecasting is proposed
and analyzed in terms of its sensitivity with respect to the input data sets. Furthermore, the …
and analyzed in terms of its sensitivity with respect to the input data sets. Furthermore, the …
Physical and hybrid methods comparison for the day ahead PV output power forecast
An accurate forecast of the exploitable energy from Renewable Energy Sources, provided
24 h in advance, is becoming more and more important in the context of the smart grids, both …
24 h in advance, is becoming more and more important in the context of the smart grids, both …