Browsing by Author "Fernando, D"

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    PublicationEmbargo
    Supply and Demand Planning of Electricity Power: A Comprehensive Solution
    (IEEE, 2019-12-06) Perera, S; Dissanayake, S; Fernando, D; De Silva, S; Rankothge, W
    Electrical energy is one of the fastest growing energy demands in the world. Uncertainty in supplying the demand can threaten the social economic aspects of a country. The biggest driver of electrical demand is weather. Climatic changes not only affect the demand but also renewable energy supply. Wind and Solar are two alternative energy sources with less pollution. We have proposed a platform which helps energy providers, energy traders with services related to electricity supply and demand planning, with following modules. (1) Forecasting electricity consumption patterns (2) Forecasting wind power generation (3) Optimizing Load Shedding. Our platform has been implemented using statistical and machine learning techniques: Multi-Linear Regression for consumption prediction, Random forest regression for wind power forecast, and genetic algorithm to optimize load shedding. Our results show that, using our proposed module, we can minimize the imbalance between the supply and demand of electricity by predicting the consumption patterns of consumers, predicting the wind power generation and by selecting the best feeder to be selected for load shedding under given constraints.
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    PublicationOpen Access
    Testing the Validity of Purchasing Power Parity: A Comparison of Sri Lanka and Pakistan
    (SSRN, 2021-05) Nagendrakumar, N; Madhavika, W. D. N; Abusaly, H; Nawarathna, N. M. D; Yohan, H. P. Y. S; Attanayaka, L. G; Fernando, D
    This study investigates the strong and the weak relationship between macroeconomic variables and the purchasing power parity of Sri Lanka and Pakistan. Purchasing power parity is compared with the relative price level of identical product available in both countries. This paper includes 20 years of macroeconomic annual data from 1997 to 2016. These data have been analyzed using descriptive statistic, reliability test and time series multiple regression. Result reveals that real exchange rate is not constant in both economies of Sri Lanka and Pakistan, and this illustrates Sri Lanka has weak relationship between the purchasing power parity and exchange rate, inflation, interest rate, money supply, gross domestic product, foreign direct investment, whereas Pakistan has strong relationship between the selected macroeconomic variables and the purchasing power parity. This study helps enhance knowledge about how purchasing power parity affects the growth of the economies