Solar hotspots are the regions characterized by an exceptional solar power potential
suitable for decentralized commercial exploitation of energy. Identification of solar hotspots …

This study analyzes five years of 1-min solar global horizontal irradiance (GHI) and direct
normal irradiance (DNI) observations obtained at Petrolina (northeast Brazil). Quality …

To mitigate solar curtailment caused by large-scale development of photovoltaic (PV) power
generation, accurate forecasting of PV power generation is important. A hybrid forecasting …

In this paper, the accuracy of a hybrid machine learning technique for solar radiation
prediction based on some meteorological data is examined. For this aim, a novel method …

Reliable knowledge of solar radiation is an essential requirement for designing and
planning solar energy systems. Thus, this paper presents a novel hybrid model for predicting …

In this paper, a combination of Geographic Information System (GIS) and the Analytical
Hierarchy Process (AHP) has been done to assess the capacity of Eastern Morocco to host …

At any site, the bankability of a projected solar power plant largely depends on the accuracy
and general quality of the solar radiation data generated during the solar resource …

Brazil has to expand its power generation capacities due to significant projected growth of
demand. The government aims at adding hydropower capacities in North–Brazil, additional …

In this paper, we assessed the suitability of the Eastern region of Morocco to host large-scale
Concentrating Solar Power (CSP) plants by combining Geographic Information System (GIS) …

The present paper maps the district-wise potential for concentrating solar power (CSP) and
centralized solar photovoltaic (SPV) technology based power plants in India. The evaluation …