Artificial Neural Network has been popularly used for forecasting purposes over the past. There are some innate problems in neural network such as indefinite configuration, architecture, and learning issues, etc. To vanquish these problems, Generalized Neural Network (GNN) has been used. This paper illustrates the development of Quantum GA-GNN method for forecasting of solar photovoltaic system...

We present the results of an empirical study in which we evaluated cost-sensitive learning algorithms on a rooftop detection task, which is one level of processing in a building detection system. Speciically, we investigated how well machine learning methods generalized to unseen images that diiered in location and in aspect. For the purpose of comparison, we included in our evaluation a handcr...

The primary barrier to the dissemination of photovoltaic (PV) technology is its high cost as compared other alternative options. This paper discusses some financial aspects rooftop PV systems: module cost, BOS useful lifetime, minimum attractive rate return, and O&M cost. An equation numerical calculation were made for estimating unit electricity a system. simulation by taking condition Ind...

Rooftop solar panels are a strategy for achieving Indonesia's renewable energy goals, but their non-linear characteristics make them difficult to control, especially in the face of extreme weather changes. An effective controller is needed optimize power output panels. This study proposes Maximum Power Point Tracking (MPPT) based on an Adaptive Neural network Fuzzy Inference System (ANFIS) addr...

Automatic rooftop extraction is one of the most challenging problems in remote sensing image analysis. Classical 2D image processing techniques are expensive due to the high amount of features required to locate buildings. This problem can be avoided when 3D information is available. In this paper, we show how to fuse the spectral and height information of stereo imagery to achieve an efficient...

These High resolution satellite data with metadata information is used to extract the height of the building using shadow. Proposed approach divides into two phases 1) rooftop and shadow extraction and 2) height estimation. Firstly the rooftop and shadow region were extracted by manual/ automatic methods using Example – Based and Rule – Based approaches. After feature extraction next step is es...