English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

Forecasting of load demand is a very fundamental task and is mandatory in operational planning of power system .At present in the prevailing deregulated scenario load forecasting has become immensely important. Here, in this paper a suitable time series based Auto-Regressive (AR) model of order two has been proposed wherein the influence of temperature has also been included for the purpose of meticulous forecasting. This paper suggests a simple algorithm to forecast short- term load for Assam using the regression based time series method with temperature and then using fuzzy ideology an effort has been made to minimize the error between actual load and predicted load.

An Efficient Regression Based Demand Forecasting Model including temperature with Fuzzy Ideology for Assam