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 …

Forecasting of photovoltaic power generation and model optimization: A review

UK Das, KS Tey, M Seyedmahmoudian… - … and Sustainable Energy …, 2018 - Elsevier
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 …

Smart electricity meter data intelligence for future energy systems: A survey

D Alahakoon, X Yu - IEEE transactions on industrial informatics, 2015 - ieeexplore.ieee.org
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 …

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 …

Probabilistic load forecasting for buildings considering weather forecasting uncertainty and uncertain peak load

L Xu, S Wang, R Tang - Applied energy, 2019 - Elsevier
This paper presents a new probabilistic building load forecasting model considering
uncertainties in weather forecasts and abnormal peak load. Two basis function components …

Enhanced deep networks for short-term and medium-term load forecasting

L Han, Y Peng, Y Li, B Yong, Q Zhou, L Shu - Ieee Access, 2018 - ieeexplore.ieee.org
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 …

Advanced analytics for harnessing the power of smart meter big data

D Alahakoon, X Yu - 2013 IEEE International Workshop on …, 2013 - ieeexplore.ieee.org
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 …

Segmenting residential smart meter data for short-term load forecasting

A Kell, AS McGough, M Forshaw - Proceedings of the ninth international …, 2018 - dl.acm.org
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 …

Hour‐ahead demand forecasting in smart grid using support vector regression (SVR)

S Fattaheian‐Dehkordi, A Fereidunian… - … on electrical energy …, 2014 - Wiley Online Library
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 …

Optimization of neural network architecture using genetic algorithm for load forecasting

B ul Islam, Z Baharudin, MQ Raza… - 2014 5th International …, 2014 - ieeexplore.ieee.org
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 …