Results 21 to 30 of about 118 (103)

United States Solar Investment: A Feasibility Study of Solar Farms in Kentucky

open access: yesSolar, 2022
The United States is experiencing a large growth in the solar sector. The U.S. solar power capacity has grown from 0.34 Gigawatts (GW) in 2008 to an estimated 97.2 GW today.
Youngil Kim, Allie Skaggs, James Ferrell
doaj   +1 more source

Are the current incentives sufficient to drive the use of solar PV in the Colombian residential sector? - An analysis from the perspective of the game theory

open access: yesEnergy Strategy Reviews, 2022
It is necessary to increase the use of renewable energy sources to supply the world's energy demand to mitigate the harmful effects of climate change. Many countries have incorporated the use of solar energy on a large scale.
Luceny Guzman, Alvin Henao
doaj   +1 more source

PVWatts Version 5 Manual [PDF]

open access: yes, 2014
The NREL PVWatts R calculator is a web application developed by the National Renewable Energy Laboratory (NREL) that estimates the electricity production of a gridconnected photovoltaic system based on a few simple inputs. PVWatts combines a number of sub-models to predict overall system performance, and includes several built-in parameters that are ...
openaire   +1 more source

PVWatts Version 1: Technical Reference [PDF]

open access: yes, 2013
The NREL PVWatts(TM) calculator is a web application developed by the National Renewable Energy Laboratory (NREL) that estimates the electricity production of a grid-connected photovoltaic system based on a few simple inputs. PVWatts combines a number of sub-models to predict overall system performance, and makes several hidden assumptions about ...
openaire   +2 more sources

Robust Performance Loss Rate Calculation for Photovoltaic Systems in High Latitude Locations

open access: yesProgress in Photovoltaics: Research and Applications, EarlyView.
This work studies the best methods for performance loss rate (PLR) calculation in high latitude locations, characterized by strong seasonal variability. As the different methods can drastically affect the PLR value, an ensemble method consisting of multiple approaches was validated to be essential in identifying robust PLRs.
Lauri Karttunen   +7 more
wiley   +1 more source

Synergetic Benefits of Agricultural Sewage Reuse and Floating Photovoltaics in Mexican Wastewater System: A Municipal‐Level WEF Nexus Study

open access: yesGlobal Challenges, Volume 10, Issue 1, January 2026.
This study proposes integrating treated sewage irrigation ponds with floating photovoltaics to enhance wastewater treatment plants’ financial viability in the Atoyac River Basin, central Mexico. The model demonstrates potential to strengthen the water‐energy‐food nexus by recycling one‐third of sewage, increasing irrigation acreage on cornlands ...
Shahin Rasooli   +5 more
wiley   +1 more source

Dynamic Matching of Photovoltaic Energy Supply and Demand on Highway Based on Transformer Method of Deep Learning

open access: yesIET Electrical Systems in Transportation, Volume 2026, Issue 1, 2026.
In the era of rapid transportation electrification, the integration of power system automation and transportation system networking promotes the construction of comprehensive integration of the highway industry. Due to the huge project and the difficulty of construction, traditional highway construction cannot fully consider the supporting construction
Changhao Li   +4 more
wiley   +1 more source

Data-driven modeling of solar power output using a CNN–LSTM approach

open access: yesSustainable Energy Research
Short-term photovoltaic (PV) power forecasts are essential for storage dispatch, reserve scheduling, and grid safety, yet remain challenging under rapid irradiance ramps and seasonal regime shifts.
Stephen Bani   +3 more
doaj   +1 more source

Day‐Ahead PV Power Prediction Intervals Based on Physical Sensitivity Analysis and Robust Error Decomposition

open access: yesIET Renewable Power Generation, Volume 20, Issue 1, January/December 2026.
We propose a physics‐based framework to compute the theoretical lower bound of day‐ahead PV power forecast errors from NWP uncertainty. Using ECMWF HRES forecasts and Desert Rock measurements, we compare this limit with advanced machine‐learning models.
Junci Tang   +6 more
wiley   +1 more source

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