A primary objective of NASA's Prediction of Worldwide Energy Resource (POWER) project is to adapt and infuse NASA's solar and meteorological data into the energy, agricultural, and architectural industries. Improvements are continuously incorporated when higher resolution and longer-term data inputs become available. Climatological data previously provided via POWER web applications were three-hourly and 1x1 degree latitude/longitude. The NASA Modern Era Retrospective-analysis for Research and Applications (MERRA) data set provides higher resolution data products (hourly and 1/2x1/2 degree) covering the entire globe. Currently POWER solar and meteorological data are available for more than 30 years on hourly (meteorological only), daily, mo...
Fossil fuel has been used as the main source of energy to power most of the human activities for the...
ASHRAE Research Project RP-1613 prepared an update of the climatic design conditions for the "Climat...
Predictive models for forecasting residential energy demand are investigated. The models are examine...
Renewable energy technologies are changing the face of the world's energy market. Currently, these t...
AbstractA new gridded dataset for wind and solar resource estimation over the contiguous United Stat...
The Release 5.1 Surface meteorology and Solar Energy (SSE) data contains parameters formulated for a...
NASA is supporting solar energy, energy-efficient building, and agriculture industries by developing...
The Energy Sector is experiencing increasing impacts from severe weather and shifting climatic trend...
Renewable variable energy resources (VER) - solar and wind energy are becoming increasingly importan...
Background: Considering the likelihood of global climatic weather pattern changes and the global com...
Weather information plays a critical role in energy applications — from designing and planning to th...
Understanding the climate and location aspects are usually the first step in energy applications -- ...
This paper presents an overview of an ongoing project to develop and deliver a solar mapping process...
The acquisition and processing of selected parametric data for inclusion in a computerized Data Base...
This study aims to evaluate NASA POWER reanalysis products for daily surface maximum (Tmax) and min...
Fossil fuel has been used as the main source of energy to power most of the human activities for the...
ASHRAE Research Project RP-1613 prepared an update of the climatic design conditions for the "Climat...
Predictive models for forecasting residential energy demand are investigated. The models are examine...
Renewable energy technologies are changing the face of the world's energy market. Currently, these t...
AbstractA new gridded dataset for wind and solar resource estimation over the contiguous United Stat...
The Release 5.1 Surface meteorology and Solar Energy (SSE) data contains parameters formulated for a...
NASA is supporting solar energy, energy-efficient building, and agriculture industries by developing...
The Energy Sector is experiencing increasing impacts from severe weather and shifting climatic trend...
Renewable variable energy resources (VER) - solar and wind energy are becoming increasingly importan...
Background: Considering the likelihood of global climatic weather pattern changes and the global com...
Weather information plays a critical role in energy applications — from designing and planning to th...
Understanding the climate and location aspects are usually the first step in energy applications -- ...
This paper presents an overview of an ongoing project to develop and deliver a solar mapping process...
The acquisition and processing of selected parametric data for inclusion in a computerized Data Base...
This study aims to evaluate NASA POWER reanalysis products for daily surface maximum (Tmax) and min...
Fossil fuel has been used as the main source of energy to power most of the human activities for the...
ASHRAE Research Project RP-1613 prepared an update of the climatic design conditions for the "Climat...
Predictive models for forecasting residential energy demand are investigated. The models are examine...