Solar photovoltaic power forecasting: A review
KJ Iheanetu - Sustainability, 2022 - mdpi.com
The recent global warming effect has brought into focus different solutions for combating
climate change. The generation of climate-friendly renewable energy alternatives has been …
climate change. The generation of climate-friendly renewable energy alternatives has been …
Forecasting of photovoltaic power generation and model optimization: A review
To mitigate the impact of climate change and global warming, the use of renewable energies
is increasing day by day significantly. A considerable amount of electricity is generated from …
is increasing day by day significantly. A considerable amount of electricity is generated from …
Smart electricity meter data intelligence for future energy systems: A survey
Smart meters have been deployed in many countries across the world since early 2000s.
The smart meter as a key element for the smart grid is expected to provide economic, social …
The smart meter as a key element for the smart grid is expected to provide economic, social …
Short-term electricity load forecasting based on feature selection and Least Squares Support Vector Machines
A Yang, W Li, X Yang - Knowledge-Based Systems, 2019 - Elsevier
Abstract Short-Term Electricity Load Forecasting (STLF) has become one of the hot topics of
energy research as it plays a crucial role in electricity markets and power systems. Few …
energy research as it plays a crucial role in electricity markets and power systems. Few …
Probabilistic load forecasting for buildings considering weather forecasting uncertainty and uncertain peak load
This paper presents a new probabilistic building load forecasting model considering
uncertainties in weather forecasts and abnormal peak load. Two basis function components …
uncertainties in weather forecasts and abnormal peak load. Two basis function components …
Enhanced deep networks for short-term and medium-term load forecasting
Electric load forecasting (ELF) is vitally beneficial for electrical power planning and
economical running in smart grid. However, the medium-term load forecasting has been …
economical running in smart grid. However, the medium-term load forecasting has been …
Advanced analytics for harnessing the power of smart meter big data
Smart meters or advanced metering infrastructure (AMI) are being deployed in many
countries around the world. Smart meters are the basic building block of the smart grid and …
countries around the world. Smart meters are the basic building block of the smart grid and …
Segmenting residential smart meter data for short-term load forecasting
In order to reliably generate electricity to meet the demands of the customer base, it is
essential to match supply with demand. Short-term load forecasting is utilised in both real …
essential to match supply with demand. Short-term load forecasting is utilised in both real …
Hour‐ahead demand forecasting in smart grid using support vector regression (SVR)
Demand forecasting plays an important role as a decision support tool in power system
management, especially in smart grid and liberalized power market. In this paper, a demand …
management, especially in smart grid and liberalized power market. In this paper, a demand …
Optimization of neural network architecture using genetic algorithm for load forecasting
In this paper, a computational intelligent technique genetic algorithm (GA) is implemented
for the optimization of artificial neural network (ANN) architecture. The network structures are …
for the optimization of artificial neural network (ANN) architecture. The network structures are …