A NOVEL APPROACH FOR LONG TERM SOLAR RADIATION PREDICTION

Journal Title: ICTACT Journal on Soft Computing - Year 2017, Vol 8, Issue 1

Abstract

With present stress, being laid on green energy worldwide, harnessing solar energy for commercial use has importance in sizing and long-term prediction of solar radiation. However, with continuous changing environment parameters, it is quite difficult for long-term prediction of solar radiation. In the past research scholars, have carried out solar prediction only for a few days, which is insufficient to exploit the radiation for sizing and harnessing the solar energy for commercial use. To overcome this gap, present work utilizes application of lifting wavelet transform along with ANFIS to predict the radiation for long duration.

Authors and Affiliations

Manju Khanna, Srinath N K, Mendiratta J K

Keywords

Related Articles

PROGRESSIVE DATA ANALYTICS IN HEALTH INFORMATICS USING AMAZON ELASTIC MAPREDUCE (EMR)

Identifying, diagnosing and treatment of cancer involves a thorough investigation that involves data collection called big data from multi and different sources that are helpful for making effective and quick decision ma...

FOUR-LAYER SPHERICAL SELF-ORGANIZED MAPS NEURAL NETWORKS TRAINED BY RECIRCULATION TO SIMULATE PERCEPTION AND ABSTRACTION ACTIVITY - APPLICATION TO PATTERNS OF RAINFALL GLOBAL REANALYSIS

This work is intended to organize a big set of time series. To do that a self-organized map is implemented in four spherical layers trained by recirculation. This way tries to simulate aspects of perception and abstracti...

RELIABLE COGNITIVE DIMENSIONAL DOCUMENT RANKING BY WEIGHTED STANDARD CAUCHY DISTRIBUTION

Categorization of cognitively uniform and consistent documents such as University question papers are in demand by e-learners. Literature indicates that Standard Cauchy distribution and the derived values are extensively...

ENHANCED HYBRID PSO – ACO ALGORITHM FOR GRID SCHEDULING

Grid computing is a high performance computing environment to solve larger scale computational demands. Grid computing contains resource management, task scheduling, security problems, information management and so on. T...

IMPACT OF WEIGHT INITIALIZATION ON TRAINING OF SIGMOIDAL FFANN

During training one of the most important factor is weight initialization that affects the training speed of the neural network. In this paper we have used random and Nguyen-Widrow weight initialization along with the pr...

Download PDF file
  • EP ID EP386144
  • DOI 10.21917/ijsc.2017.0220
  • Views 74
  • Downloads 0

How To Cite

Manju Khanna, Srinath N K, Mendiratta J K (2017). A NOVEL APPROACH FOR LONG TERM SOLAR RADIATION PREDICTION. ICTACT Journal on Soft Computing, 8(1), 1574-1581. https://europub.co.uk/articles/-A-386144