• Raghubabu KVM

Forecasting is a vital and cost- effective means for integrating Variable Renewable Energy (VRE) resources such as wind and solar into power systems. Renewable Energy forecasting affects a variety of scheme operations including scheduling, dispatch, real-time balancing, and reserve necessities. By integrating VRE forecasts into system operations, power system operators can anticipate up-and down-ramps in VRE generation in order to cost-effectively balance load and generation in intra-day and day- ahead scheduling. This process leads to reduce fuel costs, improve system reliability, and minimize curtailment of renewable resources. Factors that affect forecast performance comprise forecast time-horizon, local weather conditions (which influence variability in VRE resources), geographic scope, data availability (e.g., plant size, location, components), and data quality (e.g., consistency, accuracy, resolution). The precision of VRE forecasts usually increases at shorter time intervals. However, frequent forecasts are only functional when their time-steps match the time intervals in which system operators can make actionable decisions. Scientists and Engineers can curtail forecast errors by customizing their methodology to account for local situation and system operator needs. This paper reviews the Forecasting Methodology that Indian government and Non government institutes have adopted.

Variable Renewable Energy (VRE), Wind Energy, Solar Energy, Forecasting.

"RENEWABLE ENERGY FORECASTING METHODOLOGY IN INDIA: A REVIEW", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 8, page no.639-641, August-2018, Available :http://www.jetir.org/papers/JETIR1808091.pdf

"RENEWABLE ENERGY FORECASTING METHODOLOGY IN INDIA: A REVIEW", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 8, page no. pp639-641, August-2018, Available at : http://www.jetir.org/papers/JETIR1808091.pdf